From complaint to next step

Research a problem before you build.

One traceable workflow for finding complaints, inspecting demand proxies, mapping competitor gaps, and planning customer discovery about past behavior.

Collect

Evidence with collection context

Sync low-rated App Store reviews and Reddit complaints into immutable snapshots. Filter by source and inspect the original link, author, date, rating, and source health.

Understand

Clusters that describe the job

Semantic clustering groups related friction, preserves exemplar quotes, tracks frustration and movement, and writes a clear Jobs-To-Be-Done statement.

Assess

Commercial intent beside frustration

Search volume, CPC, competitor adoption, and negative-review gaps suggest where commercial intent may exist; interviews test demand.

Prioritize

Opportunity scores you can audit

Tune the weights for frustration, momentum, commercial signal, and competitor weakness. Missing evidence re-normalizes the score visibly.

Validate

Interviews grounded in past behavior

Generate Mom Test questions about existing workflows, recent events, and current spend—then copy the script into your next customer call.

Decide

A dossier ready to share

Export source URLs, snapshot timestamps, trends, commercial signals, hypotheses, and validation playbooks in JSON or CSV.

Start with evidence before you open the editor.

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