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User research

Blueprint-driven research interviews with JTBD structure: role, workflow, alternatives, and recommendation score — plus narrative depth for roadmap evidence.

Classic user interviews do not scale: recruiting, moderating, and coding notes for every participant burns weeks. Static surveys scale — but lose the “why” behind jobs and alternatives.

This template gives research teams an async AI-moderated interview with JTBD-oriented blueprint fields: role, current workflow, alternatives tried, and a recommendation score. The agent probes for examples and edge cases while keeping sessions comparable.

Use deep-dive session shape for discovery; keep a shorter variant when validating a single hypothesis with a larger sample.

Best for

  • Product and UX research teams
  • Founders validating category fit
  • Async studies across time zones

Outcomes

  • Prioritized JTBD and friction themes
  • Deal-breakers vs nice-to-haves
  • Verbatim problem language for briefs

How it works

  1. 1

    Write a sharp research question

    Objectives should name the decision you need (e.g. “Should we invest in X workflow?”). Vague goals produce vague themes.

  2. 2

    Keep JTBD blueprint fields

    Role, workflow steps, alternatives, and deal-breakers stay structured. Narrative probes fill the qualitative layer.

  3. 3

    Recruit owned or invited participants

    CRM segments, waitlists, or customer advisory boards work well. Tag persona so hub compares stay honest.

  4. 4

    Synthesize in the analysis hub

    Edit theme labels, pull quotes into PRDs, and share a short readout — without waiting for a sealed agency deck.

Sample questions

  • QWhat job are you trying to get done when you use tools like ours?
  • QWalk me through your current workflow from start to finish.
  • QWhat have you tried before, and why did it fall short?
  • QWhat would make you recommend — or refuse — a solution in this category?

Setup tips

  • Separate generative discovery from evaluative testing; do not mix both in one brief.
  • Cap deep-dive length in the opening so participants know the time ask.
  • Store persona and company size on the contact for later cohort compares.

Frequently asked questions

Does this replace human moderation entirely?
It replaces the need for a live moderator on every session. Researchers still design objectives, review notes, and decide — the agent scales the conversation layer.
Can we mix voice and text?
Yes. Share settings can offer voice, text, or participant choice. Blueprint fields and analysis use the same pipeline either way.
How many sessions do we need?
For early discovery, a focused owned-audience sample often beats a large but shallow survey. Scale once themes stabilize and you need prevalence estimates.