multi-source-signal-synthesiser

# 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 signals suggesting user segmentation 4. Distinguish surface request from underlying need (e.g. "faster export" may mean "I don't trust the data will be there when I need it") 5. Produce ranked insights by weighted frequency 6. **Validate** — Confirm each insight has evidence from at least 2 sou...