PRODUCT RESEARCH

User Research

Consistent interviews. Consistent insights.

40%

of variance in qualitative research findings is attributable to interviewer effect — not the participants.

The Problem

User interviews are only as good as the interviewer. Probing depth varies. Topics get skipped. Biases creep in. And scaling interviews across a team means scaling all of those inconsistencies into your findings.

How It Works

1

Script the interview

Write your research questions, probing branches, and the target persona. The AI moderates to your spec.

2

Participants self-schedule

They get a link and complete a structured voice interview with the AI moderator — no researcher present required.

3

Synthesise the output

Transcripts scored by coverage and depth, ready for your next sprint planning or research report.

What Decibl Scores

Topic coverage

Were all key research areas explored, or did some threads get dropped?

Probing depth

Were follow-up questions asked when answers were vague or interesting?

Consistency

Was the same core ground covered across all participants for valid comparison?

Follow-up quality

Did the interview adapt to what the participant said, or rigidly follow the script?

Example Scenario

B2B SaaS product discovery interview

A 20-minute structured discovery interview with a power user exploring workflow pain points, current tool usage, and willingness to switch.

AI PlaysAI moderator following a product research script
You PlayUX researcher or product manager

Other Use Cases

Ready to build your first user research agent?

Takes 5 minutes to set up. No calls to schedule, no software to install.