# User Research Studio

Turn supplied interviews and feedback into an evidence-linked research room. Compare participant segments, preserve contradictory observations, prioritize authored actions and export a brief, backlog and follow-up interview guide.

Canonical page: https://skillrove.dev/skills/user-research-studio
Version: 1.0.0
Package price: USD 4.99 per individual package
Installation hosts: Codex, Claude Code, Cursor
Output: A traceable research brief and action backlog

## What it does

- Connect themes to supplied interview and feedback evidence.
- Compare participant segments while keeping contradictory observations visible.
- Export an authored action backlog, research brief and follow-up interview guide.

Best suited to: Product teams synthesizing reviewed qualitative research into next actions.

Scope limits: Works from supplied records; repeated notes from one person are not extra participants.

## Documented deliverables and requirements

- index.html
- plan.json + original notes.json
- analysis.json
- findings.md
- actions.csv
- interview-guide.md
- delivery-manifest.json

Runtime requirements: Python 3.10+ · offline

Working example: https://skillrove.dev/skillrove/samples/user-research-studio/v1.0.0/index.html

Python 3.10+ standard library, offline. File hashes and observation references are checked; interpretation, sampling and quote context require review. Percentages describe the supplied study. No transcript service, external publication or research participant is contacted.

## Questions before installation

### How do I get User Research Studio?

The listed individual package price is USD 4.99. Premium downloads require a confirmed purchase or active membership. Your agent subscription, model access and external provider credits are separate.

- [Compare access and pricing](https://skillrove.dev/pricing)

### Which agents can use this skill?

This release lists Codex, Claude Code, Cursor as intended installation hosts. Check the package’s dependencies and permissions before running it. These labels do not certify that every workflow has been tested in every agent.

- [Codex setup](https://skillrove.dev/skills/agent/codex)
- [Claude Code setup](https://skillrove.dev/skills/agent/claude-code)
- [Cursor setup](https://skillrove.dev/skills/agent/cursor)

### What files can this workflow generate?

The documented 1.0.0 workflow lists: index.html; plan.json + original notes.json; analysis.json; findings.md; actions.csv; interview-guide.md; delivery-manifest.json. Some files or exports are optional; follow the package’s setup and inspect the delivered result.

- [Review all deliverables](https://skillrove.dev/skills/user-research-studio#skill-what-you-get)
- [Inspect the working example](https://skillrove.dev/skillrove/samples/user-research-studio/v1.0.0/index.html)

### What should I check before using the result?

Python 3.10+ standard library, offline. File hashes and observation references are checked; interpretation, sampling and quote context require review. Percentages describe the supplied study. No transcript service, external publication or research participant is contacted.

- [Read the installation guide](https://skillrove.dev/guides/how-to-install-a-claude-skill)
- [Review third-party notices](https://skillrove.dev/third-party-notices)

## Source and access

These facts come from the public Skillrove catalog and the documented active release. Agent labels describe intended installation hosts, not certification across every model. Package licenses apply; model accounts, provider credits and credentials are separate. Public facts do not grant download access.

[Installation guide](https://skillrove.dev/install/agent.md) · [Support](https://skillrove.dev/contact)