multi-source-signal-synthesiser
Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling us'. Produces ranked insights with confidence ratings, source weighting rationale, divergent signal analysis by user segment, and a research gap identification section.
npx skills add mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Multi-Source Signal Synthesiser Skill Reconcile user signals from multiple sources — interviews, support tickets, NPS, app reviews, sales calls — into a unified, weighted insight brief that surfaces the underlying need rather than the surface-level request. ## Required Inputs Ask the user for these if not provided: - **Signal sources** (interviews, support tickets, NPS verbatims, app reviews, sales calls, analytics — any combination) - **Time period** covered by the data - **Product area or feature** the signals relate to (if scoped) ## Source Weighting (default — adapt to context) | Source | Weight | Rationale | |--------|--------|-----------| | Direct research (interviews, usability tests) | 5 | Highest-fidelity, structured | | Support tickets (unprompted pain signals) | 4 | Real pain, unfiltered | | NPS verbatims | 3 | Broad but shallow | | App store reviews | 2 | Public, self-selected | | Sales call summaries | 2 | Filtered through sales lens | | Anecdote or single report | 1 | Low confidence alone | ## Process 1. Tag each signal by source and apply weight 2. Look for **convergence**: same underlying need appearing across 3+ sources 3. Look for **divergence**: contradictory s
- Required Inputs
- Source Weighting (default — adapt to context)
- Process
- Output Structure
- User Signal Synthesis — [Date / Period]
- Quality Checks
- Anti-Patterns
What does the multi-source-signal-synthesiser skill do?
Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling us'. Produces ranked insights with confidence ratings, source weighting rationale, divergent signal analysis by user segment, and a research gap identification section.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.