• EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs

    Originally published at EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs by Anush Yolyan.

    The integration will deliver simple, accessible, and streamlined email security for vulnerable inboxes

    Global, 4 November 2024 – US-based email security firm EasyDMARC has today announced its integration with Pax8 Marketplace, the leading cloud commerce marketplace. As one of the first DMARC solution providers on the Pax8 Marketplace, EasyDMARC is expanding its mission to protect inboxes from the rising threat of phishing attacks with a rigorous, user-friendly DMARC solution.

    The integration comes as Google highlights the impressive results of recently implemented email authentication measures for bulk senders: a 65% reduction in unauthenticated messages to Gmail users, a 50% increase in bulk senders following best security practices, and 265 billion fewer unauthenticated messages sent in 2024. With email being such a crucial communication channel for businesses, email authentication measures are an essential part of any business’s cybersecurity offering. 

    Key features of the integration include:

    Centralized billing

    With centralized billing, customers can now streamline their cloud services under a single pane of glass, simplifying the management and billing of their EasyDMARC solution. This consolidated approach enables partners to reduce administrative complexity and manage all cloud expenses through one interface, providing a seamless billing and support experience.

    Automated provisioning 

    Through automated provisioning, Pax8’s automation capabilities make deploying DMARC across client accounts quick and hassle-free. By eliminating manual configurations, this integration ensures that customers can implement email security solutions rapidly, allowing them to safeguard client inboxes without delay.

    Bundled offerings

    The bundled offerings available through Pax8 allow partners to enhance their service portfolios by combining EasyDMARC with complementary security solutions. By creating all-in-one security packages, partners can offer their clients more robust protection, addressing a broader range of security needs from a single, trusted platform.

    Gerasim Hovhannisyan, Co-Founder and CEO of EasyDMARC, said:

    “We’re thrilled to be working with Pax8  to provide MSPs with a streamlined, effective way to deliver top-tier email security to their clients, all within a platform that equips them with everything needed to stay secure.  As phishing attacks grow in frequency and sophistication, businesses can no longer afford to overlook the importance of email security. Email authentication is a vital defense against the evolving threat of phishing and is crucial in preserving the integrity of email communication. This integration is designed to allow businesses of all sizes to benefit from DMARC’s extensive capabilities.”

    Ryan Burton, Vice President of Marketplace Vendor Strategy, at Pax8 said: 

    “We’re delighted to welcome EasyDMARC to the Pax8 Marketplace as an enterprise-class DMARC solution provider. This integration gives MSPs the tools they need to meet the growing demand for email security, with simplified deployment, billing, and bundling benefits. With EasyDMARC’s technical capabilities and intelligence, MSPs can deliver robust protection against phishing threats without the technical hassle that often holds businesses back.”

    About EasyDMARC

    EasyDMARC is a cloud-native B2B SaaS solution that addresses email security and deliverability problems with just a few clicks. For Managed Service Providers seeking to increase their revenue, EasyDMARC presents an ideal solution. The email authentication platform streamlines domain management, providing capabilities such as organizational control, domain grouping, and access management.

    Additionally, EasyDMARC offers a comprehensive sales and marketing enablement program designed to boost DMARC sales. All of these features are available for MSPs on a scalable platform with a flexible pay-as-you-go pricing model.

    For more information on the EasyDMARC, visit: /

    About Pax8 

    Pax8 is the technology marketplace of the future, linking partners, vendors, and small to midsized businessesthrough AI-powered insights and comprehensive product support. With a global partner ecosystem of over 38,000 managed service providers, Pax8 empowers SMBs worldwide by providing software and services that unlock their growth potential and enhance their security. Committed to innovating cloud commerce at scale, Pax8 drives customer acquisition and solution consumption across its entire ecosystem.

    Find out more: /

    The post EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs appeared first on EasyDMARC.
    #easydmarc #integrates #with #pax8 #marketplace
    EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs
    Originally published at EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs by Anush Yolyan. The integration will deliver simple, accessible, and streamlined email security for vulnerable inboxes Global, 4 November 2024 – US-based email security firm EasyDMARC has today announced its integration with Pax8 Marketplace, the leading cloud commerce marketplace. As one of the first DMARC solution providers on the Pax8 Marketplace, EasyDMARC is expanding its mission to protect inboxes from the rising threat of phishing attacks with a rigorous, user-friendly DMARC solution. The integration comes as Google highlights the impressive results of recently implemented email authentication measures for bulk senders: a 65% reduction in unauthenticated messages to Gmail users, a 50% increase in bulk senders following best security practices, and 265 billion fewer unauthenticated messages sent in 2024. With email being such a crucial communication channel for businesses, email authentication measures are an essential part of any business’s cybersecurity offering.  Key features of the integration include: Centralized billing With centralized billing, customers can now streamline their cloud services under a single pane of glass, simplifying the management and billing of their EasyDMARC solution. This consolidated approach enables partners to reduce administrative complexity and manage all cloud expenses through one interface, providing a seamless billing and support experience. Automated provisioning  Through automated provisioning, Pax8’s automation capabilities make deploying DMARC across client accounts quick and hassle-free. By eliminating manual configurations, this integration ensures that customers can implement email security solutions rapidly, allowing them to safeguard client inboxes without delay. Bundled offerings The bundled offerings available through Pax8 allow partners to enhance their service portfolios by combining EasyDMARC with complementary security solutions. By creating all-in-one security packages, partners can offer their clients more robust protection, addressing a broader range of security needs from a single, trusted platform. Gerasim Hovhannisyan, Co-Founder and CEO of EasyDMARC, said: “We’re thrilled to be working with Pax8  to provide MSPs with a streamlined, effective way to deliver top-tier email security to their clients, all within a platform that equips them with everything needed to stay secure.  As phishing attacks grow in frequency and sophistication, businesses can no longer afford to overlook the importance of email security. Email authentication is a vital defense against the evolving threat of phishing and is crucial in preserving the integrity of email communication. This integration is designed to allow businesses of all sizes to benefit from DMARC’s extensive capabilities.” Ryan Burton, Vice President of Marketplace Vendor Strategy, at Pax8 said:  “We’re delighted to welcome EasyDMARC to the Pax8 Marketplace as an enterprise-class DMARC solution provider. This integration gives MSPs the tools they need to meet the growing demand for email security, with simplified deployment, billing, and bundling benefits. With EasyDMARC’s technical capabilities and intelligence, MSPs can deliver robust protection against phishing threats without the technical hassle that often holds businesses back.” About EasyDMARC EasyDMARC is a cloud-native B2B SaaS solution that addresses email security and deliverability problems with just a few clicks. For Managed Service Providers seeking to increase their revenue, EasyDMARC presents an ideal solution. The email authentication platform streamlines domain management, providing capabilities such as organizational control, domain grouping, and access management. Additionally, EasyDMARC offers a comprehensive sales and marketing enablement program designed to boost DMARC sales. All of these features are available for MSPs on a scalable platform with a flexible pay-as-you-go pricing model. For more information on the EasyDMARC, visit: / About Pax8  Pax8 is the technology marketplace of the future, linking partners, vendors, and small to midsized businessesthrough AI-powered insights and comprehensive product support. With a global partner ecosystem of over 38,000 managed service providers, Pax8 empowers SMBs worldwide by providing software and services that unlock their growth potential and enhance their security. Committed to innovating cloud commerce at scale, Pax8 drives customer acquisition and solution consumption across its entire ecosystem. Find out more: / The post EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs appeared first on EasyDMARC. #easydmarc #integrates #with #pax8 #marketplace
    EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs
    easydmarc.com
    Originally published at EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs by Anush Yolyan. The integration will deliver simple, accessible, and streamlined email security for vulnerable inboxes Global, 4 November 2024 – US-based email security firm EasyDMARC has today announced its integration with Pax8 Marketplace, the leading cloud commerce marketplace. As one of the first DMARC solution providers on the Pax8 Marketplace, EasyDMARC is expanding its mission to protect inboxes from the rising threat of phishing attacks with a rigorous, user-friendly DMARC solution. The integration comes as Google highlights the impressive results of recently implemented email authentication measures for bulk senders: a 65% reduction in unauthenticated messages to Gmail users, a 50% increase in bulk senders following best security practices, and 265 billion fewer unauthenticated messages sent in 2024. With email being such a crucial communication channel for businesses, email authentication measures are an essential part of any business’s cybersecurity offering.  Key features of the integration include: Centralized billing With centralized billing, customers can now streamline their cloud services under a single pane of glass, simplifying the management and billing of their EasyDMARC solution. This consolidated approach enables partners to reduce administrative complexity and manage all cloud expenses through one interface, providing a seamless billing and support experience. Automated provisioning  Through automated provisioning, Pax8’s automation capabilities make deploying DMARC across client accounts quick and hassle-free. By eliminating manual configurations, this integration ensures that customers can implement email security solutions rapidly, allowing them to safeguard client inboxes without delay. Bundled offerings The bundled offerings available through Pax8 allow partners to enhance their service portfolios by combining EasyDMARC with complementary security solutions. By creating all-in-one security packages, partners can offer their clients more robust protection, addressing a broader range of security needs from a single, trusted platform. Gerasim Hovhannisyan, Co-Founder and CEO of EasyDMARC, said: “We’re thrilled to be working with Pax8  to provide MSPs with a streamlined, effective way to deliver top-tier email security to their clients, all within a platform that equips them with everything needed to stay secure.  As phishing attacks grow in frequency and sophistication, businesses can no longer afford to overlook the importance of email security. Email authentication is a vital defense against the evolving threat of phishing and is crucial in preserving the integrity of email communication. This integration is designed to allow businesses of all sizes to benefit from DMARC’s extensive capabilities.” Ryan Burton, Vice President of Marketplace Vendor Strategy, at Pax8 said:  “We’re delighted to welcome EasyDMARC to the Pax8 Marketplace as an enterprise-class DMARC solution provider. This integration gives MSPs the tools they need to meet the growing demand for email security, with simplified deployment, billing, and bundling benefits. With EasyDMARC’s technical capabilities and intelligence, MSPs can deliver robust protection against phishing threats without the technical hassle that often holds businesses back.” About EasyDMARC EasyDMARC is a cloud-native B2B SaaS solution that addresses email security and deliverability problems with just a few clicks. For Managed Service Providers seeking to increase their revenue, EasyDMARC presents an ideal solution. The email authentication platform streamlines domain management, providing capabilities such as organizational control, domain grouping, and access management. Additionally, EasyDMARC offers a comprehensive sales and marketing enablement program designed to boost DMARC sales. All of these features are available for MSPs on a scalable platform with a flexible pay-as-you-go pricing model. For more information on the EasyDMARC, visit: https://easydmarc.com/ About Pax8  Pax8 is the technology marketplace of the future, linking partners, vendors, and small to midsized businesses (SMBs) through AI-powered insights and comprehensive product support. With a global partner ecosystem of over 38,000 managed service providers, Pax8 empowers SMBs worldwide by providing software and services that unlock their growth potential and enhance their security. Committed to innovating cloud commerce at scale, Pax8 drives customer acquisition and solution consumption across its entire ecosystem. Find out more: https://www.pax8.com/en-us/ The post EasyDMARC Integrates With Pax8 Marketplace To Simplify Email Security For MSPs appeared first on EasyDMARC.
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  • Anthropic launches new Claude service for military and intelligence use

    Anthropic on Thursday announced Claude Gov, its product designed specifically for U.S. defense and intelligence agencies. The AI models have looser guardrails for government use and are trained to better analyze classified information.The company said the models it’s announcing “are already deployed by agencies at the highest level of U.S. national security,” and that access to those models will be limited to government agencies handling classified information. The company did not confirm how long they had been in use.Claude Gov models are specifically designed to uniquely handle government needs, like threat assessment and intelligence analysis, per Anthropic’s blog post. And although the company said they “underwent the same rigorous safety testing as all of our Claude models,” the models have certain specifications for national security work. For example, they “refuse less when engaging with classified information” that’s fed into them, something consumer-facing Claude is trained to flag and avoid. Claude Gov’s models also have greater understanding of documents and context within defense and intelligence, according to Anthropic, and better proficiency in languages and dialects relevant to national security. Use of AI by government agencies has long been scrutinized because of its potential harms and ripple effects for minorities and vulnerable communities. There’s been a long list of wrongful arrests across multiple U.S. states due to police use of facial recognition, documented evidence of bias in predictive policing, and discrimination in government algorithms that assess welfare aid. For years, there’s also been an industry-wide controversy over large tech companies like Microsoft, Google and Amazon allowing the military — particularly in Israel — to use their AI products, with campaigns and public protests under the No Tech for Apartheid movement.Anthropic’s usage policy specifically dictates that any user must “Not Create or Facilitate the Exchange of Illegal or Highly Regulated Weapons or Goods,” including using Anthropic’s products or services to “produce, modify, design, market, or distribute weapons, explosives, dangerous materials or other systems designed to cause harm to or loss of human life.” At least eleven months ago, the company said it created a set of contractual exceptions to its usage policy that are “carefully calibrated to enable beneficial uses by carefully selected government agencies.” Certain restrictions — such as disinformation campaigns, the design or use of weapons, the construction of censorship systems, and malicious cyber operations — would remain prohibited. But Anthropic can decide to “tailor use restrictions to the mission and legal authorities of a government entity,” although it will aim to “balance enabling beneficial uses of our products and services with mitigating potential harms.” Claude Gov is Anthropic’s answer to ChatGPT Gov, OpenAI’s product for U.S. government agencies, which it launched in January. It’s also part of a broader trend of AI giants and startups alike looking to bolster their businesses with government agencies, especially in an uncertain regulatory landscape.When OpenAI announced ChatGPT Gov, the company said that within the past year, more than 90,000 employees of federal, state, and local governments had used its technology to translate documents, generate summaries, draft policy memos, write code, build applications, and more. Anthropic declined to share numbers or use cases of the same sort, but the company is part of Palantir’s FedStart program, a SaaS offering for companies who want to deploy federal government-facing software. Scale AI, the AI giant that provides training data to industry leaders like OpenAI, Google, Microsoft, and Meta, signed a deal with the Department of Defense in March for a first-of-its-kind AI agent program for U.S. military planning. And since then, it’s expanded its business to world governments, recently inking a five-year deal with Qatar to provide automation tools for civil service, healthcare, transportation, and more.See More:
    #anthropic #launches #new #claude #service
    Anthropic launches new Claude service for military and intelligence use
    Anthropic on Thursday announced Claude Gov, its product designed specifically for U.S. defense and intelligence agencies. The AI models have looser guardrails for government use and are trained to better analyze classified information.The company said the models it’s announcing “are already deployed by agencies at the highest level of U.S. national security,” and that access to those models will be limited to government agencies handling classified information. The company did not confirm how long they had been in use.Claude Gov models are specifically designed to uniquely handle government needs, like threat assessment and intelligence analysis, per Anthropic’s blog post. And although the company said they “underwent the same rigorous safety testing as all of our Claude models,” the models have certain specifications for national security work. For example, they “refuse less when engaging with classified information” that’s fed into them, something consumer-facing Claude is trained to flag and avoid. Claude Gov’s models also have greater understanding of documents and context within defense and intelligence, according to Anthropic, and better proficiency in languages and dialects relevant to national security. Use of AI by government agencies has long been scrutinized because of its potential harms and ripple effects for minorities and vulnerable communities. There’s been a long list of wrongful arrests across multiple U.S. states due to police use of facial recognition, documented evidence of bias in predictive policing, and discrimination in government algorithms that assess welfare aid. For years, there’s also been an industry-wide controversy over large tech companies like Microsoft, Google and Amazon allowing the military — particularly in Israel — to use their AI products, with campaigns and public protests under the No Tech for Apartheid movement.Anthropic’s usage policy specifically dictates that any user must “Not Create or Facilitate the Exchange of Illegal or Highly Regulated Weapons or Goods,” including using Anthropic’s products or services to “produce, modify, design, market, or distribute weapons, explosives, dangerous materials or other systems designed to cause harm to or loss of human life.” At least eleven months ago, the company said it created a set of contractual exceptions to its usage policy that are “carefully calibrated to enable beneficial uses by carefully selected government agencies.” Certain restrictions — such as disinformation campaigns, the design or use of weapons, the construction of censorship systems, and malicious cyber operations — would remain prohibited. But Anthropic can decide to “tailor use restrictions to the mission and legal authorities of a government entity,” although it will aim to “balance enabling beneficial uses of our products and services with mitigating potential harms.” Claude Gov is Anthropic’s answer to ChatGPT Gov, OpenAI’s product for U.S. government agencies, which it launched in January. It’s also part of a broader trend of AI giants and startups alike looking to bolster their businesses with government agencies, especially in an uncertain regulatory landscape.When OpenAI announced ChatGPT Gov, the company said that within the past year, more than 90,000 employees of federal, state, and local governments had used its technology to translate documents, generate summaries, draft policy memos, write code, build applications, and more. Anthropic declined to share numbers or use cases of the same sort, but the company is part of Palantir’s FedStart program, a SaaS offering for companies who want to deploy federal government-facing software. Scale AI, the AI giant that provides training data to industry leaders like OpenAI, Google, Microsoft, and Meta, signed a deal with the Department of Defense in March for a first-of-its-kind AI agent program for U.S. military planning. And since then, it’s expanded its business to world governments, recently inking a five-year deal with Qatar to provide automation tools for civil service, healthcare, transportation, and more.See More: #anthropic #launches #new #claude #service
    Anthropic launches new Claude service for military and intelligence use
    www.theverge.com
    Anthropic on Thursday announced Claude Gov, its product designed specifically for U.S. defense and intelligence agencies. The AI models have looser guardrails for government use and are trained to better analyze classified information.The company said the models it’s announcing “are already deployed by agencies at the highest level of U.S. national security,” and that access to those models will be limited to government agencies handling classified information. The company did not confirm how long they had been in use.Claude Gov models are specifically designed to uniquely handle government needs, like threat assessment and intelligence analysis, per Anthropic’s blog post. And although the company said they “underwent the same rigorous safety testing as all of our Claude models,” the models have certain specifications for national security work. For example, they “refuse less when engaging with classified information” that’s fed into them, something consumer-facing Claude is trained to flag and avoid. Claude Gov’s models also have greater understanding of documents and context within defense and intelligence, according to Anthropic, and better proficiency in languages and dialects relevant to national security. Use of AI by government agencies has long been scrutinized because of its potential harms and ripple effects for minorities and vulnerable communities. There’s been a long list of wrongful arrests across multiple U.S. states due to police use of facial recognition, documented evidence of bias in predictive policing, and discrimination in government algorithms that assess welfare aid. For years, there’s also been an industry-wide controversy over large tech companies like Microsoft, Google and Amazon allowing the military — particularly in Israel — to use their AI products, with campaigns and public protests under the No Tech for Apartheid movement.Anthropic’s usage policy specifically dictates that any user must “Not Create or Facilitate the Exchange of Illegal or Highly Regulated Weapons or Goods,” including using Anthropic’s products or services to “produce, modify, design, market, or distribute weapons, explosives, dangerous materials or other systems designed to cause harm to or loss of human life.” At least eleven months ago, the company said it created a set of contractual exceptions to its usage policy that are “carefully calibrated to enable beneficial uses by carefully selected government agencies.” Certain restrictions — such as disinformation campaigns, the design or use of weapons, the construction of censorship systems, and malicious cyber operations — would remain prohibited. But Anthropic can decide to “tailor use restrictions to the mission and legal authorities of a government entity,” although it will aim to “balance enabling beneficial uses of our products and services with mitigating potential harms.” Claude Gov is Anthropic’s answer to ChatGPT Gov, OpenAI’s product for U.S. government agencies, which it launched in January. It’s also part of a broader trend of AI giants and startups alike looking to bolster their businesses with government agencies, especially in an uncertain regulatory landscape.When OpenAI announced ChatGPT Gov, the company said that within the past year, more than 90,000 employees of federal, state, and local governments had used its technology to translate documents, generate summaries, draft policy memos, write code, build applications, and more. Anthropic declined to share numbers or use cases of the same sort, but the company is part of Palantir’s FedStart program, a SaaS offering for companies who want to deploy federal government-facing software. Scale AI, the AI giant that provides training data to industry leaders like OpenAI, Google, Microsoft, and Meta, signed a deal with the Department of Defense in March for a first-of-its-kind AI agent program for U.S. military planning. And since then, it’s expanded its business to world governments, recently inking a five-year deal with Qatar to provide automation tools for civil service, healthcare, transportation, and more.See More:
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  • 7 Subscription Trends That Are Shaping the SaaS Industry in 2025

    Posted on : June 5, 2025

    By

    Tech World Times

    Technology 

    Rate this post

    The Software as a Serviceindustry has been on an unstoppable trajectory since its inception, revolutionizing how businesses and individuals consume and manage software. The landscape of subscription services within this sector continues to evolve at a rapid pace. Driven by customer expectations, technological advancements, and economic shifts, several trends are emerging that promise to reshape the SaaS industry. These trends will not only influence the way software is delivered and managed but also impact the overall subscription economy. Check out these subscription trends that are set to redefine the SaaS industry in the next few years.
    1. Personalization and Customer-Centric Models
    Businesses are increasingly recognizing the value of tailored experiences, and SaaS companies are responding with personalized subscription offerings. By leveraging user data and machine learning algorithms, providers are crafting customized solutions that cater to individual needs, preferences, and usage patterns. Personalization also extends to the billing process, where SaaS payment processing systems are adapting to offer flexible pricing models, such as pay-per-use and tiered subscriptions.
    2. Integrated Payment Solutions and Subscription Management
    SaaS payment processing will become a seamless and integrated part of the subscription experience. Innovations in financial technology will streamline the billing process, providing users with a unified dashboard to manage all their subscriptions. This will simplify financial management for both consumers and businesses. Companies will be able to offer various payment methods, automate billing cycles, and handle currency conversions with ease, making it easier for them to serve a global customer base.
    3. The Rise of Usage-Based Pricing
    Usage-based pricing is gaining traction as a fair and transparent way to bill for cloud services. Instead of flat monthly or annual fees, SaaS providers will charge customers based on the actual resources consumed. This model aligns the cost with the value derived, encouraging more efficient use of resources and reducing waste. It also allows companies to scale more easily, leading to more granular and sophisticated pricing structures that can handle these complex calculations.
    4. Subscription Model Innovation
    To stand out in a crowded market, SaaS companies are experimenting with innovative subscription models that go beyond the typical monthly or annual plans. These include freemium models, where users get a basic version of the software for free and pay for additional features, and dynamic pricing that adjusts based on demand and supply. The goal is to create a more nuanced pricing strategy that appeals to a wider range of customers and enhances the overall perceived value of the service.
    5. Emphasis on User Experience and Customer Retention
    The importance of user experience is paramount in the SaaS industry, and in 2025, companies will invest heavily in creating delightful onboarding processes, intuitive user interfaces, and proactive customer support. The focus on customer retention will be a key driver for subscription growth, as it becomes more cost-effective than acquiring new ones. This shift will lead to the integration of more sophisticated tools for tracking customer engagement and satisfaction, allowing for targeted interventions to reduce churn rates.
    6. Expansion into Emerging Markets
    As developed markets become saturated, SaaS companies are setting their sights on emerging economies. To cater to these diverse markets, providers will need to adapt their offerings to suit local preferences and constraints, such as language, cultural nuances, and payment methods. This trend will result in the rise of regional SaaS leaders and increased competition from local players, pushing the industry to become more global and inclusive.
    7. Increased Adoption of AI and Automation
    Artificial intelligence and automation will play a significant role in the SaaS industry, optimizing everything from customer support to sales and marketing. Chatbots and virtual assistants will become commonplace for handling routine inquiries, while AI algorithms will be used to predict customer behavior and offer personalized recommendations. Automation will streamline backend processes, reducing costs and enhancing the overall efficiency of subscription management. This integration will lead to more intelligent and proactive services, with the potential for predictive analytics to anticipate customer needs before they even arise.
    The SaaS industry is poised for continued growth and evolution, with these seven subscription trends at the forefront. Personalization, integrated payment processing, usage-based pricing, innovative models, user experience enhancements, emerging market expansion, and the integration of AI and automation are all shaping the future of this dynamic sector. The most successful SaaS companies will be those that embrace these trends, adapting their offerings and operations to meet the changing demands of the modern subscription economy. With the right strategies in place, they will be able to deliver superior value to their customers and thrive in an increasingly competitive landscape.
    Tech World TimesTech World Times, a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com
    #subscription #trends #that #are #shaping
    7 Subscription Trends That Are Shaping the SaaS Industry in 2025
    Posted on : June 5, 2025 By Tech World Times Technology  Rate this post The Software as a Serviceindustry has been on an unstoppable trajectory since its inception, revolutionizing how businesses and individuals consume and manage software. The landscape of subscription services within this sector continues to evolve at a rapid pace. Driven by customer expectations, technological advancements, and economic shifts, several trends are emerging that promise to reshape the SaaS industry. These trends will not only influence the way software is delivered and managed but also impact the overall subscription economy. Check out these subscription trends that are set to redefine the SaaS industry in the next few years. 1. Personalization and Customer-Centric Models Businesses are increasingly recognizing the value of tailored experiences, and SaaS companies are responding with personalized subscription offerings. By leveraging user data and machine learning algorithms, providers are crafting customized solutions that cater to individual needs, preferences, and usage patterns. Personalization also extends to the billing process, where SaaS payment processing systems are adapting to offer flexible pricing models, such as pay-per-use and tiered subscriptions. 2. Integrated Payment Solutions and Subscription Management SaaS payment processing will become a seamless and integrated part of the subscription experience. Innovations in financial technology will streamline the billing process, providing users with a unified dashboard to manage all their subscriptions. This will simplify financial management for both consumers and businesses. Companies will be able to offer various payment methods, automate billing cycles, and handle currency conversions with ease, making it easier for them to serve a global customer base. 3. The Rise of Usage-Based Pricing Usage-based pricing is gaining traction as a fair and transparent way to bill for cloud services. Instead of flat monthly or annual fees, SaaS providers will charge customers based on the actual resources consumed. This model aligns the cost with the value derived, encouraging more efficient use of resources and reducing waste. It also allows companies to scale more easily, leading to more granular and sophisticated pricing structures that can handle these complex calculations. 4. Subscription Model Innovation To stand out in a crowded market, SaaS companies are experimenting with innovative subscription models that go beyond the typical monthly or annual plans. These include freemium models, where users get a basic version of the software for free and pay for additional features, and dynamic pricing that adjusts based on demand and supply. The goal is to create a more nuanced pricing strategy that appeals to a wider range of customers and enhances the overall perceived value of the service. 5. Emphasis on User Experience and Customer Retention The importance of user experience is paramount in the SaaS industry, and in 2025, companies will invest heavily in creating delightful onboarding processes, intuitive user interfaces, and proactive customer support. The focus on customer retention will be a key driver for subscription growth, as it becomes more cost-effective than acquiring new ones. This shift will lead to the integration of more sophisticated tools for tracking customer engagement and satisfaction, allowing for targeted interventions to reduce churn rates. 6. Expansion into Emerging Markets As developed markets become saturated, SaaS companies are setting their sights on emerging economies. To cater to these diverse markets, providers will need to adapt their offerings to suit local preferences and constraints, such as language, cultural nuances, and payment methods. This trend will result in the rise of regional SaaS leaders and increased competition from local players, pushing the industry to become more global and inclusive. 7. Increased Adoption of AI and Automation Artificial intelligence and automation will play a significant role in the SaaS industry, optimizing everything from customer support to sales and marketing. Chatbots and virtual assistants will become commonplace for handling routine inquiries, while AI algorithms will be used to predict customer behavior and offer personalized recommendations. Automation will streamline backend processes, reducing costs and enhancing the overall efficiency of subscription management. This integration will lead to more intelligent and proactive services, with the potential for predictive analytics to anticipate customer needs before they even arise. The SaaS industry is poised for continued growth and evolution, with these seven subscription trends at the forefront. Personalization, integrated payment processing, usage-based pricing, innovative models, user experience enhancements, emerging market expansion, and the integration of AI and automation are all shaping the future of this dynamic sector. The most successful SaaS companies will be those that embrace these trends, adapting their offerings and operations to meet the changing demands of the modern subscription economy. With the right strategies in place, they will be able to deliver superior value to their customers and thrive in an increasingly competitive landscape. Tech World TimesTech World Times, a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com #subscription #trends #that #are #shaping
    7 Subscription Trends That Are Shaping the SaaS Industry in 2025
    techworldtimes.com
    Posted on : June 5, 2025 By Tech World Times Technology  Rate this post The Software as a Service (SaaS) industry has been on an unstoppable trajectory since its inception, revolutionizing how businesses and individuals consume and manage software. The landscape of subscription services within this sector continues to evolve at a rapid pace. Driven by customer expectations, technological advancements, and economic shifts, several trends are emerging that promise to reshape the SaaS industry. These trends will not only influence the way software is delivered and managed but also impact the overall subscription economy. Check out these subscription trends that are set to redefine the SaaS industry in the next few years. 1. Personalization and Customer-Centric Models Businesses are increasingly recognizing the value of tailored experiences, and SaaS companies are responding with personalized subscription offerings. By leveraging user data and machine learning algorithms, providers are crafting customized solutions that cater to individual needs, preferences, and usage patterns. Personalization also extends to the billing process, where SaaS payment processing systems are adapting to offer flexible pricing models, such as pay-per-use and tiered subscriptions. 2. Integrated Payment Solutions and Subscription Management SaaS payment processing will become a seamless and integrated part of the subscription experience. Innovations in financial technology will streamline the billing process, providing users with a unified dashboard to manage all their subscriptions. This will simplify financial management for both consumers and businesses. Companies will be able to offer various payment methods, automate billing cycles, and handle currency conversions with ease, making it easier for them to serve a global customer base. 3. The Rise of Usage-Based Pricing Usage-based pricing is gaining traction as a fair and transparent way to bill for cloud services. Instead of flat monthly or annual fees, SaaS providers will charge customers based on the actual resources consumed. This model aligns the cost with the value derived, encouraging more efficient use of resources and reducing waste. It also allows companies to scale more easily, leading to more granular and sophisticated pricing structures that can handle these complex calculations. 4. Subscription Model Innovation To stand out in a crowded market, SaaS companies are experimenting with innovative subscription models that go beyond the typical monthly or annual plans. These include freemium models, where users get a basic version of the software for free and pay for additional features, and dynamic pricing that adjusts based on demand and supply. The goal is to create a more nuanced pricing strategy that appeals to a wider range of customers and enhances the overall perceived value of the service. 5. Emphasis on User Experience and Customer Retention The importance of user experience is paramount in the SaaS industry, and in 2025, companies will invest heavily in creating delightful onboarding processes, intuitive user interfaces, and proactive customer support. The focus on customer retention will be a key driver for subscription growth, as it becomes more cost-effective than acquiring new ones. This shift will lead to the integration of more sophisticated tools for tracking customer engagement and satisfaction, allowing for targeted interventions to reduce churn rates. 6. Expansion into Emerging Markets As developed markets become saturated, SaaS companies are setting their sights on emerging economies. To cater to these diverse markets, providers will need to adapt their offerings to suit local preferences and constraints, such as language, cultural nuances, and payment methods. This trend will result in the rise of regional SaaS leaders and increased competition from local players, pushing the industry to become more global and inclusive. 7. Increased Adoption of AI and Automation Artificial intelligence and automation will play a significant role in the SaaS industry, optimizing everything from customer support to sales and marketing. Chatbots and virtual assistants will become commonplace for handling routine inquiries, while AI algorithms will be used to predict customer behavior and offer personalized recommendations. Automation will streamline backend processes, reducing costs and enhancing the overall efficiency of subscription management. This integration will lead to more intelligent and proactive services, with the potential for predictive analytics to anticipate customer needs before they even arise. The SaaS industry is poised for continued growth and evolution, with these seven subscription trends at the forefront. Personalization, integrated payment processing, usage-based pricing, innovative models, user experience enhancements, emerging market expansion, and the integration of AI and automation are all shaping the future of this dynamic sector. The most successful SaaS companies will be those that embrace these trends, adapting their offerings and operations to meet the changing demands of the modern subscription economy. With the right strategies in place, they will be able to deliver superior value to their customers and thrive in an increasingly competitive landscape. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com
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  • Collaboration: The Most Underrated UX Skill No One Talks About

    When people talk about UX, it’s usually about the things they can see and interact with, like wireframes and prototypes, smart interactions, and design tools like Figma, Miro, or Maze. Some of the outputs are even glamorized, like design systems, research reports, and pixel-perfect UI designs. But here’s the truth I’ve seen again and again in over two decades of working in UX: none of that moves the needle if there is no collaboration.
    Great UX doesn’t happen in isolation. It happens through conversations with engineers, product managers, customer-facing teams, and the customer support teams who manage support tickets. Amazing UX ideas come alive in messy Miro sessions, cross-functional workshops, and those online chatswhere people align, adapt, and co-create.
    Some of the most impactful moments in my career weren’t when I was “designing” in the traditional sense. They have been gaining incredible insights when discussing problems with teammates who have varied experiences, brainstorming, and coming up with ideas that I never could have come up with on my own. As I always say, ten minds in a room will come up with ten times as many ideas as one mind. Often, many ideas are the most useful outcome.
    There have been times when a team has helped to reframe a problem in a workshop, taken vague and conflicting feedback, and clarified a path forward, or I’ve sat with a sales rep and heard the same user complaint show up in multiple conversations. This is when design becomes a team sport, and when your ability to capture the outcomes multiplies the UX impact.
    Why This Article Matters Now
    The reason collaboration feels so urgent now is that the way we work since COVID has changed, according to a study published by the US Department of Labor. Teams are more cross-functional, often remote, and increasingly complex. Silos are easier to fall into, due to distance or lack of face-to-face contact, and yet alignment has never been more important. We can’t afford to see collaboration as a “nice to have” anymore. It’s a core skill, especially in UX, where our work touches so many parts of an organisation.
    Let’s break down what collaboration in UX really means, and why it deserves way more attention than it gets.
    What Is Collaboration In UX, Really?
    Let’s start by clearing up a misconception. Collaboration is not the same as cooperation.

    Cooperation: “You do your thing, I’ll do mine, and we’ll check in later.”
    Collaboration: “Let’s figure this out together and co-own the outcome.”

    Collaboration, as defined in the book Communication Concepts, published by Deakin University, involves working with others to produce outputs and/or achieve shared goals. The outcome of collaboration is typically a tangible product or a measurable achievement, such as solving a problem or making a decision. Here’s an example from a recent project:
    Recently, I worked on a fraud alert platform for a fintech business. It was a six-month project, and we had zero access to users, as the product had not yet hit the market. Also, the users were highly specialised in the B2B finance space and were difficult to find. Additionally, the team members I needed to collaborate with were based in Malaysia and Melbourne, while I am located in Sydney.
    Instead of treating that as a dead end, we turned inward: collaborating with subject matter experts, professional services consultants, compliance specialists, and customer support team members who had deep knowledge of fraud patterns and customer pain points. Through bi-weekly workshops using a Miro board, iterative feedback loops, and sketching sessions, we worked on design solution options. I even asked them to present their own design version as part of the process.

    After months of iterating on the fraud investigation platform through these collaboration sessions, I ended up with two different design frameworks for the investigator’s dashboard. Instead of just presenting the “best one” and hoping for buy-in, I ran a voting exercise with PMs, engineers, SMEs, and customer support. Everyone had a voice. The winning design was created and validated with the input of the team, resulting in an outcome that solved many problems for the end user and was owned by the entire team. That’s collaboration!

    It is definitely one of the most satisfying projects of my career.
    On the other hand, I recently caught up with an old colleague who now serves as a product owner. Her story was a cautionary tale: the design team had gone ahead with a major redesign of an app without looping her in until late in the game. Not surprisingly, the new design missed several key product constraints and business goals. It had to be scrapped and redone, with her now at the table. That experience reinforced what we all know deep down: your best work rarely happens in isolation.
    As illustrated in my experience, true collaboration can span many roles. It’s not just between designers and PMs. It can also include QA testers who identify real-world issues, content strategists who ensure our language is clear and inclusive, sales representatives who interact with customers on a daily basis, marketers who understand the brand’s voice, and, of course, customer support agents who are often the first to hear when something goes wrong. The best outcomes arrive when we’re open to different perspectives and inputs.
    Why Collaboration Is So Overlooked?
    If collaboration is so powerful, why don’t we talk about it more?
    In my experience, one reason is the myth of the “lone UX hero”. Many of us entered the field inspired by stories of design geniuses revolutionising products on their own. Our portfolios often reflect that as well. We showcase our solo work, our processes, and our wins. Job descriptions often reinforce the idea of the solo UX designer, listing tool proficiency and deliverables more than soft skills and team dynamics.
    And then there’s the team culture within many organisations of “just get the work done”, which often leads to fewer meetings and tighter deadlines. As a result, a sense of collaboration is inefficient and wasted. I have also experienced working with some designers where perfectionism and territoriality creep in — “This is my design” — which kills the open, communal spirit that collaboration needs.
    When Collaboration Is The User Research
    In an ideal world, we’d always have direct access to users. But let’s be real. Sometimes that just doesn’t happen. Whether it’s due to budget constraints, time limitations, or layers of bureaucracy, talking to end users isn’t always possible. That’s where collaboration with team members becomes even more crucial.
    The next best thing to talking to users? Talking to the people who talk to users. Sales teams, customer success reps, tech support, and field engineers. They’re all user researchers in disguise!
    On another B2C project, the end users were having trouble completing the key task. My role was to redesign the onboarding experience for an online identity capture tool for end users. I was unable to schedule interviews with end users due to budget and time constraints, so I turned to the sales and tech support teams.
    I conducted multiple mini-workshops to identify the most common onboarding issues they had heard directly from our customers. This led to a huge “aha” moment: most users dropped off before the document capture process. They may have been struggling with a lack of instruction, not knowing the required time, or not understanding the steps involved in completing the onboarding process.
    That insight reframed my approach, and we ultimately redesigned the flow to prioritize orientation and clear instructions before proceeding to the setup steps. Below is an example of one of the screen designs, including some of the instructions we added.

    This kind of collaboration is user research. It’s not a substitute for talking to users directly, but it’s a powerful proxy when you have limited options.
    But What About Using AI?
    Glad you asked! Even AI tools, which are increasingly being used for idea generation, pattern recognition, or rapid prototyping, don’t replace collaboration; they just change the shape of it.
    AI can help you explore design patterns, draft user flows, or generate multiple variations of a layout in seconds. It’s fantastic for getting past creative blocks or pressure-testing your assumptions. But let’s be clear: these tools are accelerators, not oracles. As an innovation and strategy consultant Nathan Waterhouse points out, AI can point you in a direction, but it can’t tell you which direction is the right one in your specific context. That still requires human judgment, empathy, and an understanding of the messy realities of users and business goals.
    You still need people, especially those closest to your users, to validate, challenge, and evolve any AI-generated idea. For instance, you might use ChatGPT to brainstorm onboarding flows for a SaaS tool, but if you’re not involving customer support reps who regularly hear “I didn’t know where to start” or “I couldn’t even log in,” you’re just working with assumptions. The same applies to engineers who know what is technically feasible or PMs who understand where the business is headed.
    AI can generate ideas, but only collaboration turns those ideas into something usable, valuable, and real. Think of it as a powerful ingredient, but not the whole recipe.
    How To Strengthen Your UX Collaboration Skills?
    If collaboration doesn’t come naturally or hasn’t been a focus, that’s okay. Like any skill, it can be practiced and improved. Here are a few ways to level up:

    Cultivate curiosity about your teammates.Ask engineers what keeps them up at night. Learn what metrics your PMs care about. Understand the types of tickets the support team handles most frequently. The more you care about their challenges, the more they'll care about yours.
    Get comfortable facilitating.You don’t need to be a certified Design Sprint master, but learning how to run a structured conversation, align stakeholders, or synthesize different points of view is hugely valuable. Even a simple “What’s working? What’s not?” retro can be an amazing starting point in identifying where you need to focus next.
    Share early, share often.Don’t wait until your designs are polished to get input. Messy sketches and rough prototypes invite collaboration. When others feel like they’ve helped shape the work, they’re more invested in its success.
    Practice active listening.When someone critiques your work, don’t immediately defend. Pause. Ask follow-up questions. Reframe the feedback. Collaboration isn’t about consensus; it’s about finding a shared direction that can honour multiple truths.
    Co-own the outcome.Let go of your ego. The best UX work isn’t “your” work. It’s the result of many voices, skill sets, and conversations converging toward a solution that helps users. It’s not “I”, it’s “we” that will solve this problem together.

    Conclusion: UX Is A Team Sport
    Great design doesn’t emerge from a vacuum. It comes from open dialogue, cross-functional understanding, and a shared commitment to solving real problems for real people.
    If there’s one thing I wish every early-career designer knew, it’s this:
    Collaboration is not a side skill. It’s the engine behind every meaningful design outcome. And for seasoned professionals, it’s the superpower that turns good teams into great ones.
    So next time you’re tempted to go heads-down and just “crank out a design,” pause to reflect. Ask who else should be in the room. And invite them in, not just to review your work, but to help create it.
    Because in the end, the best UX isn’t just what you make. It’s what you make together.
    Further Reading On SmashingMag

    “Presenting UX Research And Design To Stakeholders: The Power Of Persuasion,” Victor Yocco
    “Transforming The Relationship Between Designers And Developers,” Chris Day
    “Effective Communication For Everyday Meetings,” Andrii Zhdan
    “Preventing Bad UX Through Integrated Design Workflows,” Ceara Crawshaw
    #collaboration #most #underrated #skill #one
    Collaboration: The Most Underrated UX Skill No One Talks About
    When people talk about UX, it’s usually about the things they can see and interact with, like wireframes and prototypes, smart interactions, and design tools like Figma, Miro, or Maze. Some of the outputs are even glamorized, like design systems, research reports, and pixel-perfect UI designs. But here’s the truth I’ve seen again and again in over two decades of working in UX: none of that moves the needle if there is no collaboration. Great UX doesn’t happen in isolation. It happens through conversations with engineers, product managers, customer-facing teams, and the customer support teams who manage support tickets. Amazing UX ideas come alive in messy Miro sessions, cross-functional workshops, and those online chatswhere people align, adapt, and co-create. Some of the most impactful moments in my career weren’t when I was “designing” in the traditional sense. They have been gaining incredible insights when discussing problems with teammates who have varied experiences, brainstorming, and coming up with ideas that I never could have come up with on my own. As I always say, ten minds in a room will come up with ten times as many ideas as one mind. Often, many ideas are the most useful outcome. There have been times when a team has helped to reframe a problem in a workshop, taken vague and conflicting feedback, and clarified a path forward, or I’ve sat with a sales rep and heard the same user complaint show up in multiple conversations. This is when design becomes a team sport, and when your ability to capture the outcomes multiplies the UX impact. Why This Article Matters Now The reason collaboration feels so urgent now is that the way we work since COVID has changed, according to a study published by the US Department of Labor. Teams are more cross-functional, often remote, and increasingly complex. Silos are easier to fall into, due to distance or lack of face-to-face contact, and yet alignment has never been more important. We can’t afford to see collaboration as a “nice to have” anymore. It’s a core skill, especially in UX, where our work touches so many parts of an organisation. Let’s break down what collaboration in UX really means, and why it deserves way more attention than it gets. What Is Collaboration In UX, Really? Let’s start by clearing up a misconception. Collaboration is not the same as cooperation. Cooperation: “You do your thing, I’ll do mine, and we’ll check in later.” Collaboration: “Let’s figure this out together and co-own the outcome.” Collaboration, as defined in the book Communication Concepts, published by Deakin University, involves working with others to produce outputs and/or achieve shared goals. The outcome of collaboration is typically a tangible product or a measurable achievement, such as solving a problem or making a decision. Here’s an example from a recent project: Recently, I worked on a fraud alert platform for a fintech business. It was a six-month project, and we had zero access to users, as the product had not yet hit the market. Also, the users were highly specialised in the B2B finance space and were difficult to find. Additionally, the team members I needed to collaborate with were based in Malaysia and Melbourne, while I am located in Sydney. Instead of treating that as a dead end, we turned inward: collaborating with subject matter experts, professional services consultants, compliance specialists, and customer support team members who had deep knowledge of fraud patterns and customer pain points. Through bi-weekly workshops using a Miro board, iterative feedback loops, and sketching sessions, we worked on design solution options. I even asked them to present their own design version as part of the process. After months of iterating on the fraud investigation platform through these collaboration sessions, I ended up with two different design frameworks for the investigator’s dashboard. Instead of just presenting the “best one” and hoping for buy-in, I ran a voting exercise with PMs, engineers, SMEs, and customer support. Everyone had a voice. The winning design was created and validated with the input of the team, resulting in an outcome that solved many problems for the end user and was owned by the entire team. That’s collaboration! It is definitely one of the most satisfying projects of my career. On the other hand, I recently caught up with an old colleague who now serves as a product owner. Her story was a cautionary tale: the design team had gone ahead with a major redesign of an app without looping her in until late in the game. Not surprisingly, the new design missed several key product constraints and business goals. It had to be scrapped and redone, with her now at the table. That experience reinforced what we all know deep down: your best work rarely happens in isolation. As illustrated in my experience, true collaboration can span many roles. It’s not just between designers and PMs. It can also include QA testers who identify real-world issues, content strategists who ensure our language is clear and inclusive, sales representatives who interact with customers on a daily basis, marketers who understand the brand’s voice, and, of course, customer support agents who are often the first to hear when something goes wrong. The best outcomes arrive when we’re open to different perspectives and inputs. Why Collaboration Is So Overlooked? If collaboration is so powerful, why don’t we talk about it more? In my experience, one reason is the myth of the “lone UX hero”. Many of us entered the field inspired by stories of design geniuses revolutionising products on their own. Our portfolios often reflect that as well. We showcase our solo work, our processes, and our wins. Job descriptions often reinforce the idea of the solo UX designer, listing tool proficiency and deliverables more than soft skills and team dynamics. And then there’s the team culture within many organisations of “just get the work done”, which often leads to fewer meetings and tighter deadlines. As a result, a sense of collaboration is inefficient and wasted. I have also experienced working with some designers where perfectionism and territoriality creep in — “This is my design” — which kills the open, communal spirit that collaboration needs. When Collaboration Is The User Research In an ideal world, we’d always have direct access to users. But let’s be real. Sometimes that just doesn’t happen. Whether it’s due to budget constraints, time limitations, or layers of bureaucracy, talking to end users isn’t always possible. That’s where collaboration with team members becomes even more crucial. The next best thing to talking to users? Talking to the people who talk to users. Sales teams, customer success reps, tech support, and field engineers. They’re all user researchers in disguise! On another B2C project, the end users were having trouble completing the key task. My role was to redesign the onboarding experience for an online identity capture tool for end users. I was unable to schedule interviews with end users due to budget and time constraints, so I turned to the sales and tech support teams. I conducted multiple mini-workshops to identify the most common onboarding issues they had heard directly from our customers. This led to a huge “aha” moment: most users dropped off before the document capture process. They may have been struggling with a lack of instruction, not knowing the required time, or not understanding the steps involved in completing the onboarding process. That insight reframed my approach, and we ultimately redesigned the flow to prioritize orientation and clear instructions before proceeding to the setup steps. Below is an example of one of the screen designs, including some of the instructions we added. This kind of collaboration is user research. It’s not a substitute for talking to users directly, but it’s a powerful proxy when you have limited options. But What About Using AI? Glad you asked! Even AI tools, which are increasingly being used for idea generation, pattern recognition, or rapid prototyping, don’t replace collaboration; they just change the shape of it. AI can help you explore design patterns, draft user flows, or generate multiple variations of a layout in seconds. It’s fantastic for getting past creative blocks or pressure-testing your assumptions. But let’s be clear: these tools are accelerators, not oracles. As an innovation and strategy consultant Nathan Waterhouse points out, AI can point you in a direction, but it can’t tell you which direction is the right one in your specific context. That still requires human judgment, empathy, and an understanding of the messy realities of users and business goals. You still need people, especially those closest to your users, to validate, challenge, and evolve any AI-generated idea. For instance, you might use ChatGPT to brainstorm onboarding flows for a SaaS tool, but if you’re not involving customer support reps who regularly hear “I didn’t know where to start” or “I couldn’t even log in,” you’re just working with assumptions. The same applies to engineers who know what is technically feasible or PMs who understand where the business is headed. AI can generate ideas, but only collaboration turns those ideas into something usable, valuable, and real. Think of it as a powerful ingredient, but not the whole recipe. How To Strengthen Your UX Collaboration Skills? If collaboration doesn’t come naturally or hasn’t been a focus, that’s okay. Like any skill, it can be practiced and improved. Here are a few ways to level up: Cultivate curiosity about your teammates.Ask engineers what keeps them up at night. Learn what metrics your PMs care about. Understand the types of tickets the support team handles most frequently. The more you care about their challenges, the more they'll care about yours. Get comfortable facilitating.You don’t need to be a certified Design Sprint master, but learning how to run a structured conversation, align stakeholders, or synthesize different points of view is hugely valuable. Even a simple “What’s working? What’s not?” retro can be an amazing starting point in identifying where you need to focus next. Share early, share often.Don’t wait until your designs are polished to get input. Messy sketches and rough prototypes invite collaboration. When others feel like they’ve helped shape the work, they’re more invested in its success. Practice active listening.When someone critiques your work, don’t immediately defend. Pause. Ask follow-up questions. Reframe the feedback. Collaboration isn’t about consensus; it’s about finding a shared direction that can honour multiple truths. Co-own the outcome.Let go of your ego. The best UX work isn’t “your” work. It’s the result of many voices, skill sets, and conversations converging toward a solution that helps users. It’s not “I”, it’s “we” that will solve this problem together. Conclusion: UX Is A Team Sport Great design doesn’t emerge from a vacuum. It comes from open dialogue, cross-functional understanding, and a shared commitment to solving real problems for real people. If there’s one thing I wish every early-career designer knew, it’s this: Collaboration is not a side skill. It’s the engine behind every meaningful design outcome. And for seasoned professionals, it’s the superpower that turns good teams into great ones. So next time you’re tempted to go heads-down and just “crank out a design,” pause to reflect. Ask who else should be in the room. And invite them in, not just to review your work, but to help create it. Because in the end, the best UX isn’t just what you make. It’s what you make together. Further Reading On SmashingMag “Presenting UX Research And Design To Stakeholders: The Power Of Persuasion,” Victor Yocco “Transforming The Relationship Between Designers And Developers,” Chris Day “Effective Communication For Everyday Meetings,” Andrii Zhdan “Preventing Bad UX Through Integrated Design Workflows,” Ceara Crawshaw #collaboration #most #underrated #skill #one
    Collaboration: The Most Underrated UX Skill No One Talks About
    smashingmagazine.com
    When people talk about UX, it’s usually about the things they can see and interact with, like wireframes and prototypes, smart interactions, and design tools like Figma, Miro, or Maze. Some of the outputs are even glamorized, like design systems, research reports, and pixel-perfect UI designs. But here’s the truth I’ve seen again and again in over two decades of working in UX: none of that moves the needle if there is no collaboration. Great UX doesn’t happen in isolation. It happens through conversations with engineers, product managers, customer-facing teams, and the customer support teams who manage support tickets. Amazing UX ideas come alive in messy Miro sessions, cross-functional workshops, and those online chats (e.g., Slack or Teams) where people align, adapt, and co-create. Some of the most impactful moments in my career weren’t when I was “designing” in the traditional sense. They have been gaining incredible insights when discussing problems with teammates who have varied experiences, brainstorming, and coming up with ideas that I never could have come up with on my own. As I always say, ten minds in a room will come up with ten times as many ideas as one mind. Often, many ideas are the most useful outcome. There have been times when a team has helped to reframe a problem in a workshop, taken vague and conflicting feedback, and clarified a path forward, or I’ve sat with a sales rep and heard the same user complaint show up in multiple conversations. This is when design becomes a team sport, and when your ability to capture the outcomes multiplies the UX impact. Why This Article Matters Now The reason collaboration feels so urgent now is that the way we work since COVID has changed, according to a study published by the US Department of Labor. Teams are more cross-functional, often remote, and increasingly complex. Silos are easier to fall into, due to distance or lack of face-to-face contact, and yet alignment has never been more important. We can’t afford to see collaboration as a “nice to have” anymore. It’s a core skill, especially in UX, where our work touches so many parts of an organisation. Let’s break down what collaboration in UX really means, and why it deserves way more attention than it gets. What Is Collaboration In UX, Really? Let’s start by clearing up a misconception. Collaboration is not the same as cooperation. Cooperation: “You do your thing, I’ll do mine, and we’ll check in later.” Collaboration: “Let’s figure this out together and co-own the outcome.” Collaboration, as defined in the book Communication Concepts, published by Deakin University, involves working with others to produce outputs and/or achieve shared goals. The outcome of collaboration is typically a tangible product or a measurable achievement, such as solving a problem or making a decision. Here’s an example from a recent project: Recently, I worked on a fraud alert platform for a fintech business. It was a six-month project, and we had zero access to users, as the product had not yet hit the market. Also, the users were highly specialised in the B2B finance space and were difficult to find. Additionally, the team members I needed to collaborate with were based in Malaysia and Melbourne, while I am located in Sydney. Instead of treating that as a dead end, we turned inward: collaborating with subject matter experts, professional services consultants, compliance specialists, and customer support team members who had deep knowledge of fraud patterns and customer pain points. Through bi-weekly workshops using a Miro board, iterative feedback loops, and sketching sessions, we worked on design solution options. I even asked them to present their own design version as part of the process. After months of iterating on the fraud investigation platform through these collaboration sessions, I ended up with two different design frameworks for the investigator’s dashboard. Instead of just presenting the “best one” and hoping for buy-in, I ran a voting exercise with PMs, engineers, SMEs, and customer support. Everyone had a voice. The winning design was created and validated with the input of the team, resulting in an outcome that solved many problems for the end user and was owned by the entire team. That’s collaboration! It is definitely one of the most satisfying projects of my career. On the other hand, I recently caught up with an old colleague who now serves as a product owner. Her story was a cautionary tale: the design team had gone ahead with a major redesign of an app without looping her in until late in the game. Not surprisingly, the new design missed several key product constraints and business goals. It had to be scrapped and redone, with her now at the table. That experience reinforced what we all know deep down: your best work rarely happens in isolation. As illustrated in my experience, true collaboration can span many roles. It’s not just between designers and PMs. It can also include QA testers who identify real-world issues, content strategists who ensure our language is clear and inclusive, sales representatives who interact with customers on a daily basis, marketers who understand the brand’s voice, and, of course, customer support agents who are often the first to hear when something goes wrong. The best outcomes arrive when we’re open to different perspectives and inputs. Why Collaboration Is So Overlooked? If collaboration is so powerful, why don’t we talk about it more? In my experience, one reason is the myth of the “lone UX hero”. Many of us entered the field inspired by stories of design geniuses revolutionising products on their own. Our portfolios often reflect that as well. We showcase our solo work, our processes, and our wins. Job descriptions often reinforce the idea of the solo UX designer, listing tool proficiency and deliverables more than soft skills and team dynamics. And then there’s the team culture within many organisations of “just get the work done”, which often leads to fewer meetings and tighter deadlines. As a result, a sense of collaboration is inefficient and wasted. I have also experienced working with some designers where perfectionism and territoriality creep in — “This is my design” — which kills the open, communal spirit that collaboration needs. When Collaboration Is The User Research In an ideal world, we’d always have direct access to users. But let’s be real. Sometimes that just doesn’t happen. Whether it’s due to budget constraints, time limitations, or layers of bureaucracy, talking to end users isn’t always possible. That’s where collaboration with team members becomes even more crucial. The next best thing to talking to users? Talking to the people who talk to users. Sales teams, customer success reps, tech support, and field engineers. They’re all user researchers in disguise! On another B2C project, the end users were having trouble completing the key task. My role was to redesign the onboarding experience for an online identity capture tool for end users. I was unable to schedule interviews with end users due to budget and time constraints, so I turned to the sales and tech support teams. I conducted multiple mini-workshops to identify the most common onboarding issues they had heard directly from our customers. This led to a huge “aha” moment: most users dropped off before the document capture process. They may have been struggling with a lack of instruction, not knowing the required time, or not understanding the steps involved in completing the onboarding process. That insight reframed my approach, and we ultimately redesigned the flow to prioritize orientation and clear instructions before proceeding to the setup steps. Below is an example of one of the screen designs, including some of the instructions we added. This kind of collaboration is user research. It’s not a substitute for talking to users directly, but it’s a powerful proxy when you have limited options. But What About Using AI? Glad you asked! Even AI tools, which are increasingly being used for idea generation, pattern recognition, or rapid prototyping, don’t replace collaboration; they just change the shape of it. AI can help you explore design patterns, draft user flows, or generate multiple variations of a layout in seconds. It’s fantastic for getting past creative blocks or pressure-testing your assumptions. But let’s be clear: these tools are accelerators, not oracles. As an innovation and strategy consultant Nathan Waterhouse points out, AI can point you in a direction, but it can’t tell you which direction is the right one in your specific context. That still requires human judgment, empathy, and an understanding of the messy realities of users and business goals. You still need people, especially those closest to your users, to validate, challenge, and evolve any AI-generated idea. For instance, you might use ChatGPT to brainstorm onboarding flows for a SaaS tool, but if you’re not involving customer support reps who regularly hear “I didn’t know where to start” or “I couldn’t even log in,” you’re just working with assumptions. The same applies to engineers who know what is technically feasible or PMs who understand where the business is headed. AI can generate ideas, but only collaboration turns those ideas into something usable, valuable, and real. Think of it as a powerful ingredient, but not the whole recipe. How To Strengthen Your UX Collaboration Skills? If collaboration doesn’t come naturally or hasn’t been a focus, that’s okay. Like any skill, it can be practiced and improved. Here are a few ways to level up: Cultivate curiosity about your teammates.Ask engineers what keeps them up at night. Learn what metrics your PMs care about. Understand the types of tickets the support team handles most frequently. The more you care about their challenges, the more they'll care about yours. Get comfortable facilitating.You don’t need to be a certified Design Sprint master, but learning how to run a structured conversation, align stakeholders, or synthesize different points of view is hugely valuable. Even a simple “What’s working? What’s not?” retro can be an amazing starting point in identifying where you need to focus next. Share early, share often.Don’t wait until your designs are polished to get input. Messy sketches and rough prototypes invite collaboration. When others feel like they’ve helped shape the work, they’re more invested in its success. Practice active listening.When someone critiques your work, don’t immediately defend. Pause. Ask follow-up questions. Reframe the feedback. Collaboration isn’t about consensus; it’s about finding a shared direction that can honour multiple truths. Co-own the outcome.Let go of your ego. The best UX work isn’t “your” work. It’s the result of many voices, skill sets, and conversations converging toward a solution that helps users. It’s not “I”, it’s “we” that will solve this problem together. Conclusion: UX Is A Team Sport Great design doesn’t emerge from a vacuum. It comes from open dialogue, cross-functional understanding, and a shared commitment to solving real problems for real people. If there’s one thing I wish every early-career designer knew, it’s this: Collaboration is not a side skill. It’s the engine behind every meaningful design outcome. And for seasoned professionals, it’s the superpower that turns good teams into great ones. So next time you’re tempted to go heads-down and just “crank out a design,” pause to reflect. Ask who else should be in the room. And invite them in, not just to review your work, but to help create it. Because in the end, the best UX isn’t just what you make. It’s what you make together. Further Reading On SmashingMag “Presenting UX Research And Design To Stakeholders: The Power Of Persuasion,” Victor Yocco “Transforming The Relationship Between Designers And Developers,” Chris Day “Effective Communication For Everyday Meetings,” Andrii Zhdan “Preventing Bad UX Through Integrated Design Workflows,” Ceara Crawshaw
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