INTERACTIVE EBOOK

Agile Research: Human Insights in the AI Era

Markets shift by the week and AI keeps raising the bar. See five ways leading brands run research that is genuinely agile, and keep human insight at the center.

3 case studies10-minute read

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Here's the reality: Most "agile" research programs are not agile.

When speed comes at the cost of depth, everyone loses.

icon Rising expectations

Stakeholders want answers instantly, and AI has only raised the bar on speed and depth.

icon Disconnected projects

Most "agile" programs are just project-based studies bundled together, so you keep waiting on slow cycles.

icon Shallow feedback

Traditional surveys reach people after the moment has passed, so the "why" behind behavior slips away.

icon Fragmented tools

Stitching platform, sample, and methodology together adds overhead every time a new question comes up.

Inside: 5 ways to build an agile insights program that scale

1

Meet the expectations of your stakeholders

Learn how AI is changing what stakeholders want and need from insight teams and what you can do about it.

2

Avoid common agile research mistakes

The design choices that quietly revert "agile" research to slow, project-based cycles, and the fixes that protect both speed and depth.

3

Hershey's always-on read on shoppers

Ongoing tracking plus in-the-moment video and chat across seasonal windows, surfacing the why behind each purchase while it was still fresh.

4

A program built to last at CareFirst

Five years of conversational surveys and follow-up interviews running as one continuous program, still answering new questions as they surface.

5

Putting the participant experience at the center

Drive research agility by improving engagement and capturing 8x deeper insights using conversational approaches

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