Framework
Eight customer research trends for 2026
A one-page summary of eight trends in customer research for 2026: research as a growth driver, wider AI adoption, automation of manual tasks, researchers as educators, research across roles, interviews and usability tests as the main methods, time as the main constraint, and research feeding strategy. Use it to brief a team or plan next year. Koji fits the automation and team-sport trends, with AI-moderated interviews anyone on the team can run.
Where this appears
What's in this framework
- Insights drive business growth: Research has moved from a tactical task to a driver of strategy.
- AI adoption is speeding up: More product teams use AI in their research work than a year ago.
- Manual tasks get automated: Analysis and transcription go first, then synthesis and recruiting.
- The researcher becomes an educator: Researchers train others and set standards instead of running every study.
- Research is a team sport: Designers, product managers and marketers all talk to customers now.
- Interviews and usability tests lead: Direct conversations are still the most used methods.
- Time is still the top constraint: Bandwidth and recruiting slow teams down the most.
- Research shapes strategy: Findings feed business strategy, not only product decisions.
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<a href="https://www.koji.so/visuals/eight-customer-research-trends-2026"><img src="https://www.koji.so/visuals/eight-customer-research-trends-2026/eight-customer-research-trends-2026.png" alt="Framework of eight customer research trends for 2026, from faster AI adoption and automated analysis to research as a team sport and a driver of strategy." width="1080" height="1121" /></a>
<p>Source: <a href="https://www.koji.so/visuals/eight-customer-research-trends-2026">Eight customer research trends for 2026</a>, Koji</p>
