A/B testing plan template for product teams
If your A/B tests keep producing inconclusive results, the problem is usually the plan, not the variant. Here is the framework that fixes it.
Insights on expert networks, market research, UX research, and AI training from the CleverX team.
If your A/B tests keep producing inconclusive results, the problem is usually the plan, not the variant. Here is the framework that fixes it.
Instant research subjects, any profile, zero scheduling. The pitch is compelling. But AI-generated users have structural limits that real research does not.
Your biggest research bottleneck isn't participants or budget. It's analyst time. Here's which AI tools actually cut it, and where each fits.
Two weeks of manual analysis compressed into hours: here is how research teams are using AI to go from raw transcripts to shareable insights faster.
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Most product teams know they should talk to customers more. Continuous discovery turns that intention into a weekly operating rhythm your whole trio runs.
Poor participant recruitment is why good research fails. Here is how to find, screen, and schedule the right people every time.
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Is your design ready to test? Evaluative research answers whether what you built actually works, and which of the 8 methods fits your stage.
Most product teams skip generative research and then wonder why users don't adopt their features. Here's how to fix the root cause before design begins.
Hiring a UX researcher requires five things done well: defining the specific role before writing the job description, attracting candidates through channels where researchers actually look for work, interviewing for research thinking rather than tool familiarity, evaluating portfolios for insight quality rather than deliverable polish, and ensuring the organizational conditions exist for a researcher to have genuine impact.
Reviews, tickets, and NPS verbatims pile up faster than any team can read them. AI sentiment analysis turns that volume into a clear research priority list.