How does this skill help with research synthesis compared to manual tagging?

This skill automates the synthesis of raw notes into a structured evidence map, ensuring every insight is traceable to its source and highlighting exactly where your data is too thin to make a definitive product decision.

Does this skill require me to use a specific research repository software?

The skill generates structured text and tables that can be easily copied into popular tools like Notion, Airtable, Dovetail, or Jira, as it focuses on the underlying data architecture rather than a specific file format.

What exactly is included in my purchase of this skill?

You will receive the full AI agent logic for organizing research, including the structured evidence mapping framework, repository hierarchy templates, and a maintenance checklist for long-term data health.

Can I use this skill if I already have an established research taxonomy?

Yes, you can provide your current naming conventions or folder hierarchies during the setup phase, and the skill will categorize all new findings to match your existing system.

How does the skill handle missing information or gaps in my research notes?

The skill relies entirely on the transcripts and notes you provide; it does not access external databases or 'hallucinate' findings that aren't present in your uploaded documentation.

UX Research Repository Organizer

Example session with this skill installed

Make a compact repository for checkout study C1, usability test, 4 May 2026. P1 missed guest checkout; P2 found it immediately. Objective: assess guest checkout discoverability. No other notes available.

Read your context and instructions
Compiled the ux research repository

Organized the supplied C1 observations into a compact repository plan. Evidence is limited to two participant references, not a confirmed study sample size.

Research Overview

Study	Method	Date	Area	Objective
C1	Usability test	4 May 2026	Checkout	Assess guest checkout discoverability

Theme and Evidence Map

Theme: Guest checkout discoverability, whether users notice the guest option.

Finding	Type	Source	Evidence strength
P1 missed guest checkout	Behavioral observation	C1, P1	Single observation
P2 found it immediately	Behavioral observation	C1, P2	Single observation

Interpretation: Discoverability varied in these observations. They do not establish how common either experience is. No direct quotes were supplied.

Conflicts and Gaps

Variation: P1 and P2 had different outcomes; the reason is unknown.
Unanswered: What explains the difference?

Not supplied: Full sample size, participant segments, task wording, device, and source links. These are not confirmed research gaps.

Repository Structure

Checkout / Studies / C1: Metadata, original notes, and source references.
Checkout / Themes / Discoverability: Theme definition and linked evidence.
Checkout / Open Questions: Unresolved questions and evidence needs.

Next steps

Add source links and missing study context.
Keep anonymized IDs and consistent theme labels.
Set a review date and revisit the interpretation as evidence grows.

Connects securely to your tools. The creator never sees your data.

About this skill

Scattered research notes make it hard to find supporting evidence or see what still needs investigating. Turn supplied interviews, usability observations, and survey findings into an organized repository plan with traceable insights.

What it does

Groups findings: Organizes related evidence into themes, with context and limitations.
Maps evidence: Connects findings to their studies and participant references.
Clarifies uncertainty: Flags conflicting findings, weak evidence, and unanswered questions.
Plans the repository: Recommends categories, a folder or database structure, and maintenance checklists.

How it works

Share research notes, study details, and the product area or question you are investigating.
Add your existing categories, repository structure, or preferred output format if available.
Receive structured tables, an evidence map, a repository plan, and prioritized next steps.
Use the missing-information list to fill in context before drawing broader conclusions.

Works with

Supplied interview notes or transcripts, usability observations, survey findings, research summaries, and study metadata. Outputs use structured text and tables rather than requiring a particular repository app.

Why use this skill

Spend less time sorting notes and tracking down the source of a finding. Keep participant evidence separate from interpretations so colleagues can assess what a conclusion actually rests on.

Use cases

Consolidate research across several product studies.
Prepare an evidence-backed handoff to a product team.
Review older findings before planning new research.

Known limitations

Works only from supplied material. Incomplete notes produce a partial plan, and the results do not replace qualified UX research judgment.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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UX Research Repository Organizer