CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

discovery-research-synthesis

Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, highly actionable instruction skill: concrete parameters, worked contrasts, an explicit validation loop, and an exemplary one-level-deep reference bundle. The only real cost is token weight — roughly three recap sections restate content already delivered inline or in the reference index.

Suggestions

Collapse the "12 considerations" framework into the per-section content (or move it into a reference file) — it currently restates every section of the body in checklist form, roughly 20 lines of duplication.

Drop the consolidated "Reference files" section or the per-section "Detail in [references/...]" lines; keeping both doubles the navigation payload for the same nine files.

Trim the closing section's question litmus test, which repeats the body's litmus test and the 12-considerations checklist nearly verbatim — a two-sentence send-off would preserve the close without the recap.

DimensionReasoningScore

Conciseness

The body is dense, opinionated, and free of generic-concept padding, but it carries redundant recaps: the "12 considerations" framework restates every earlier section, the consolidated "Reference files" section duplicates the per-section "Detail in [references/...]" links, and the closing section restates the litmus test from the body. This fits anchor 3 (mostly efficient but could be tightened) rather than anchor 2, since the padding is confined to a few recap sections rather than pervasive.

3 / 5

Actionability

For an instruction-only skill the guidance is fully executable: quantitative parameters ("A short document (4-12 pages)", "Early tagging may produce 80-150 tags", "more than 12 is usually category bloat"), worked good/bad contrasts ("'Onboarding configuration friction' is a pattern name; 'users had trouble' is not"), and 11 failure modes each paired with a specific diagnosis and cure — matching anchor 5's "specific examples cover the common cases".

5 / 5

Workflow Clarity

The six-stage synthesis sequence is explicitly numbered and sequenced with skip-failure consequences stated per stage, and it is surrounded by explicit validation (participant review, adjacent-team review, challenge-the-synthesis session, iterate before publishing), error-recovery paths (pattern thinness, contradictory clusters, decision time pressure), and a 12-item audit checklist — a direct match to anchor 5.

5 / 5

Progressive Disclosure

The body functions as an overview, each section signposts its detail file ("Detail in [references/...]"), all 9 referenced files exist in references/ and go only one level deep with no further nesting, and a consolidated reference index aids navigation — matching anchor 5's clear-overview-with-well-signaled-one-level-deep-references profile.

5 / 5

Total

18

/

20

Passed

Description

86%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description with explicit, well-phrased trigger guidance and a clear what/when structure. Its main weakness is that the capability statement is abstract ("turning... into", "synthesized into") rather than enumerating the concrete synthesis actions it performs.

DimensionReasoningScore

Specificity

The description names the domain precisely and enumerates six concrete input types ("Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback"), but the actions performed are only 1-2 and abstract ("synthesized into the decisions they are meant to inform", "moving from raw discovery data to clear product direction") rather than a list of several distinct concrete actions. This matches anchor 3 (names domain and 1-2 concrete actions) better than anchor 4's multi-verb action list.

3 / 5

Completeness

It explicitly answers what ("Turning research artifacts into actionable PM insight... all synthesized into the decisions they are meant to inform") and when ("Triggers on... Also triggers when a team has done research but cannot turn it into decisions..."), with concrete trigger phrases in both clauses — a direct match to the anchor-5 example structure.

5 / 5

Trigger Term Quality

"Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis" plus natural scenario phrasings ("cannot turn it into decisions", "pretty decks but no roadmap movement") gives comprehensive coverage of natural terms with synonyms and realistic user phrasings, matching the anchor-5 example's coverage.

5 / 5

Distinctiveness Conflict Risk

The PM discovery-synthesis niche is clear and triggers are mostly distinct, but broadly applicable terms like "qualitative data analysis" and "research insights" create minor overlap risk with general research- or data-analysis skills, fitting anchor 4 rather than the minimal-conflict profile of anchor 5.

4 / 5

Total

17

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

rampstackco/claude-skills

Path

skills/discovery-research-synthesis/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.