Category: AI

• BetaTesting Named a Leader by G2 in Spring 2025

  BetaTesting awards in 2025: BetaTesting.com was recently named a beta testing and crowd testing Leader by G2 in the 2025 Spring reports and 2024 Winter reports. Here are our various rewards and recognition by G2: As of May 2025, BetaTesting is rated 4.7 / 5 on G2 and a Grid Leader. About G2 G2 is…

  Mike Siegler

  May 21, 2025

  AI, User Experience

  Beta Testing, beta testing leaders, beta testing services, BetaTesting, Leaders, leading beta testing, Top beta testing, top testing companies

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  Read our recent posts:

  • Crowdtesting for Dummies: What to Know So You Don’t Look Like an Idiot
  • What Are the Best Tools for Crowdtesting?
  • How to Run a Crowdsourced Testing Campaign
  • How do you Ensure Security & Confidentiality in Crowdtesting?
  • Best Practices for Crowd Testing

• AI-Powered User Research: Fraud, Quality & Ethical Questions

  This article is part of a series of articles focused on AI in user research. To get started, read about the State of AI in User Research and Testing in 2025. AI is transforming how companies conduct user research and software testing. From automating tedious analysis to surfacing insights at lightning speed, the benefits are…

  Mir Ujkani

  March 25, 2025

  AI, User Experience

  AI, AI world, Artificial Intelligence, automation, creativity, fake counts, fake users, human expertise, identity, job displacement, research, technology, testimonials, transparency, trust, verification

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  Read our recent posts:

  • Crowdtesting for Dummies: What to Know So You Don’t Look Like an Idiot
  • What Are the Best Tools for Crowdtesting?
  • How to Run a Crowdsourced Testing Campaign
  • How do you Ensure Security & Confidentiality in Crowdtesting?
  • Best Practices for Crowd Testing

• AI in User Research & Testing in 2025: The State of The Industry

  Artificial Intelligence (AI) is revolutionizing user research and software testing by automating tasks, enhancing data analysis, and identifying patterns more efficiently. Despite its benefits, AI faces challenges including ethical concerns, biases in data interpretation, and the need for human oversight. A balanced approach integrating AI with human expertise is essential for optimal results.

  Mir Ujkani

  March 25, 2025

  AI, User Experience

  AI use, AI user interviewers, automated code analysis, automated QA, challenges, code refactoring, cost savings, ethical challenges, fake users, feedback aggregation, fraud, identifying hidden paterns, limitations, sentiment analysis, software testing, survey feedback, synthetic AI users, time and resources, user research, video transcription

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  Read our recent posts:

  • Crowdtesting for Dummies: What to Know So You Don’t Look Like an Idiot
  • What Are the Best Tools for Crowdtesting?
  • How to Run a Crowdsourced Testing Campaign
  • How do you Ensure Security & Confidentiality in Crowdtesting?
  • Best Practices for Crowd Testing