Zero‑Dev User Interview Kit: Turn 10 Conversations into a Build‑Ready PRD

The point of ten focused interviews is to surface patterns, not polish prototypes. Use a short, reproducible script that centers recent behavior, context, and tradeoffs. Start with a 60–90 second warmup, then spend most of the time on micro‑stories: “Tell me about the last time you tried to [job]. What happened step by step?”

Keep questions non‑leading and avoid solution language. Record the interview (with permission) and capture three quick artifacts per call: a 1‑line problem statement, one verbatim pain quote, and one outcome metric the user cares about. These minimal artifacts make downstream synthesis fast and objective.

For consistency across ten calls, capture three standardized note slices: (A) Problem snapshot: one sentence (user, situation, pain), (B) Evidence: one verbatim quote + observable behavior, (C) Desired outcome: the measurable result the user would call success. Use a single line for each slice so you can later move them into affinity groups without editing.

A one‑line problem snapshot normalizes disparate language into comparable units. The evidence slice preserves fidelity for stakeholder debates. The desired outcome slice is the seed for acceptance criteria and microtests in your PRD generator.

Run a short, high‑focus synthesis session the day after interviews while memories are fresh. Use physical sticky notes or a digital board. Goal: move the 30 one‑line problem snapshots (ten interviews × three slices) into clusters that represent repeatable opportunities.

Microflow: 20 minutes — silent sort (everyone moves notes), 30 minutes — name and refine clusters, 20 minutes — map cluster to user outcomes, 20 minutes — rapid vote for impact & confidence. The cluster names become candidate feature areas; the mapped outcomes feed acceptance criteria. This condensed process borrows from classic affinity methods so teams reach shared language fast.

Transform the top 3–5 clusters into PRD items by filling a short template for each cluster: context (user segment + linked evidence lines), problem statement, prioritized user acceptance criteria (from desired outcome slices), a sample microcheckout test, and a rough priority score (Impact × Confidence × Ease). This keeps your PRD testable and buildable without speculative metrics.

Microcheckout tests are simple pass/fail checks any small engineering team can implement: e.g., “User can complete task X in ≤3 clicks and reports the measured outcome Y in the success prompt.” Each acceptance criterion should map to one microtest and include the linked verbatim evidence that justifies it—so the team knows what user behavior the feature must change.

Use a simple ICE (Impact, Confidence, Ease) or cost‑value approach to order PRD items. Impact maps to how many interview snapshots and outcome slices a cluster addresses; Confidence comes from the quality of evidence and consistency across interviews; Ease is a rough dev estimate. This keeps prioritization tied to interview signal rather than gut.

For each prioritized item, include two rollout milestones in the PRD: (A) microcheckout validation (small, testable experiment) and (B) a 30‑day check‑in that captures qualitative feedback from new users. If the microcheckout test passes, move to a scoped build; if not, iterate on the hypothesis with two more interviews.