discovery-research-synthesis

discovery-research-synthesis is a skill for Claude Code from rampstackco/claude-skills-pm. It costs 150 tokens per session (4,929 once invoked), scanned A, a copy of discovery-research-synthesis, MIT.

A product-management method for turning interviews, support tickets, sales calls, surveys, and in-app feedback into product decisions. It groups observations into patterns and connects them to specific actions.

In plain words
What is it for?
Use it to tag research notes, find recurring customer problems, identify product implications, and make decisions based on discovery evidence.
Why use it?
It prevents research from remaining as unread transcripts or presentation slides that do not guide what the team builds.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the rampstack-pm plugin — 12 skills shipped together

Good fit Use it to tag research notes, find recurring customer problems, identify product implications, and make decisions based on discovery evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rampstackco/claude-skills-pm/discovery-research-synthesis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rampstackco/claude-skills-pm --skill discovery-research-synthesis
Clone the repo
git clone --depth 1 https://github.com/rampstackco/claude-skills-pm

Made for: Claude Code.

Or install rampstack-pm, the plugin that ships this one along with the rest of its 12 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for discovery-research-synthesis

README.md
[![agentmods](https://agentmods.dev/badge/skills/rampstackco/claude-skills-pm/discovery-research-synthesis/github.svg)](https://agentmods.dev/skills/rampstackco/claude-skills-pm/discovery-research-synthesis)
Your own site
<a href="https://agentmods.dev/skills/rampstackco/claude-skills-pm/discovery-research-synthesis"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills-pm/discovery-research-synthesis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for discovery-research-synthesis

Your own site · 80×15
<a href="https://agentmods.dev/skills/rampstackco/claude-skills-pm/discovery-research-synthesis"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills-pm/discovery-research-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,929 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00150 $0.04929
Opus 5 $0.00075 $0.02465
Sonnet 5 $0.00030 $0.00986
Haiku 4.5 $0.00015 $0.00493

Measured 11d ago against content hash 9b8117216f51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

discovery-research-synthesis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to discovery-research-synthesis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/discovery-research-synthesis/SKILL.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Discovery Research Synthesis

A senior PM's playbook for turning research artifacts into decisions. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the product direction they are meant to inform.

Most discovery research never produces decisions. The team conducts interviews; the transcripts pile up; a researcher hands product the raw artifacts (data-dump) or builds a polished readout deck (insight-theater); the deck gets a 30-minute review meeting and is never referenced again. Two months later the team is making the same product decisions that the research was supposed to inform, with the same gut-feel inputs the research was supposed to displace.

The discipline is in the synthesis. Synthesis is where research earns its keep: where transcripts become tagged observations, observations cluster into patterns, patterns get named, named patterns surface product implications, and implications drive specific decisions. Without that sequence, research is performance art.

This skill covers one-off discovery research projects: a 12-week customer development sprint, a sales-call review for an onboarding redesign, a support-ticket audit informing a roadmap quarter. Different from user-feedback-aggregation, which covers ongoing feedback streams; different from jtbd-framing, which is a specific framing technique often applied within synthesis but narrower in scope.

The voice is the senior PM or staff product researcher who has run synthesis well and seen plenty of teams fail at it. Honest about where polish becomes performance and where pattern-naming slides into pattern-fabrication.

When to use this skill: synthesizing a recent batch of customer interviews, auditing why prior research has not produced product decisions, designing the synthesis output for a multi-week discovery sprint, or establishing the synthesis discipline a team currently lacks.


What this skill is for

Read the full file on GitHub · 266 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 266 lines · 150 tokens per session scan A 9b8117216f51

Subscribe to this mod's changes

discovery-research-synthesis is a skill published in the GitHub repository rampstackco/claude-skills-pm (4 stars, last pushed 1mo ago), licensed MIT. It adds 150 tokens to every session and 4,929 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to discovery-research-synthesis, differing in 0 lines, and is treated as a copy.

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