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Product Research · borghei | DecimalAI

researchby borghei

Product Research

borghei/product-research

Source borghei/claude-skills ↗License NOASSERTION

Continuous product discovery research operations — picking the method that fits the question, recruiting and screening participants, building interview guides, and scoring evidence into insights.

SkillScore91Maintained

Automatic

Product Management pack

Last verified 8/21/2026

What it changes

Passed 21 of 23 test cases with the skill, and 18 of 23 without it.

Without skill78%

With skill91%

Checks it passed that the model alone missed

Specifies a sample size between 6 and 8 participants
Notes that sample size is determined by traffic volume
Requires triangulating evidence across at least 3 independent sources

3 fixed18 passed either way2 still failing0 broke

Pass-rate lift: +13 pp
Tokens: +123%
Agent turns: 0%
Response time: -10%

Model gemini-3.6-flashMeasured 8/21/2026v121 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/borghei-product-research/SKILL.md https://app.decimal.ai/s/borghei-product-research/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add borghei-product-research, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/borghei-product-research/ and pins it in .decimal/skills.lock

decimalai skills add borghei-product-research

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/borghei-product-research/SKILL.md https://app.decimal.ai/s/borghei-product-research/SKILL.md

Raw file: /s/borghei-product-research/SKILL.md ↗ · machine-readable summary at /s/borghei-product-research.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

We are trying to understand how customer support managers currently triage incoming emergency tickets across legacy tools before we design any solution. What research method and sample size should we choose?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends contextual inquiry as a primary method	Passed	Passed
Specifies a sample size between 6 and 8 participants	Missed	Passed

case-05 · gemini-3.6-flash · 8/21/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md214 lines10 filesincludes scripts

Product Research

The operational layer of continuous product discovery: choosing a method that actually answers the question asked, recruiting the right people without poisoning the sample, running interviews that surface behaviour rather than opinion, and converting a pile of session notes into insights with an honest confidence attached.

When to use this skill

A team is about to build something and the evidence behind it is three sales anecdotes and a strongly held opinion
Choosing a method — someone has asked for "a survey" or "some user interviews" before anyone has written down the question
Designing a screener for a study where recruiting the wrong participants would be worse than not running it
Writing an interview guide that has to be run consistently by several people across a dozen sessions
Synthesising evidence into insights after a round of discovery, with a defensible confidence level on each claim
Standing up a continuous discovery cadence — a repeatable weekly rhythm rather than one-off project research

Inputs the skill expects

The decision the research feeds, and who makes it
The question in interrogative form — what you do not know, not what you want confirmed
Decision reversibility — can this be undone in a sprint, or is it a one-way door
Timeline and budget for the study
Access to participants: existing customers, prospects, panel, or none
Existing evidence already on hand (tickets, session recordings, sales calls)

Clarify First

Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:

The decision this research informs, and its reversibility — a one-way door justifies weeks of evidence; a reversible change is often better answered by shipping an experiment
The question in interrogative form — "do users want X" and "how do users currently accomplish X" call for completely different methods
Participant access — whether you can reach real users determines whether the plan is feasible at all, and it is the constraint teams discover last

Track record

Benchmark

21 / 23

test cases passed, vs 18 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

borghei / claude-skills

research-ops/product-research/SKILL.md

View on GitHub ↗

License MIT + Commons ClauseImported 8/3/2026Version v1Bundled 9 files · scripts

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

rampstackco/ux-researchPlan and execute user research including research planning, recruiting, interview design, qualitative synthesis, and translating findings into product decisions. Use this skill whenever the user wants to plan user research, design interviews, recruit participants, conduct discovery, run formative research, or synthesize qualitative findings. Triggers on user research, UX research, user interviews, discovery research, generative research, formative research, qualitative research, user insights, rClose match+9 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Product Research

When to use this skill

Inputs the skill expects

Clarify First

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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