Product Feedback Ingestion

product-feedback-ingestion

Agent: VP Product

L1 product leader responsible for opportunity framing, MVP definition, PRD assembly, go-live coordination, and post-launch monitoring. Owns the product strategy and roadmap from idea through GA.

Department ethos: ideal-product.md

Skill Description

Ingests and structures qualitative and quantitative product feedback for review cycles.

When to Use

• When preparing for a roadmap review cycle and need a consolidated view of customer and internal feedback
• When NPS scores drop, churn ticks up, or support ticket volume spikes without a clear root cause
• When multiple feedback channels (support, sales calls, design partners, in-app surveys) exist but are not being synthesized
• When launching a post-GA retrospective and need structured signal on what shipped versus what customers expected

Workflow

1. Inventory feedback sources: Catalogue all active feedback channels — support tickets, CRM call notes, NPS/CSAT surveys, in-app feedback widgets, design-partner session notes, community forums, and sales win/loss reports. Deliverable: feedback source registry.
2. Define taxonomy: Create a tagging schema for feedback — category (bug, feature request, UX friction, performance), severity, affected persona, product area, and frequency. Deliverable: feedback taxonomy document.
3. Extract and normalize: Pull feedback from each source into a central repository, applying the taxonomy tags. Normalize free-text entries into structured records with consistent fields. Deliverable: normalized feedback dataset.
4. Deduplicate and cluster: Group related feedback items into themes (e.g., "onboarding friction," "reporting gaps," "API rate-limit complaints"). Merge duplicates and count occurrences. Deliverable: themed feedback clusters with frequency counts.
5. Quantify impact: Attach business signals to each cluster — ARR at risk, number of accounts affected, deal-stage correlation, and support cost. Deliverable: impact-weighted feedback summary.
6. Synthesize for review: Produce a digest that highlights the top themes by impact, includes representative customer quotes, and maps themes to existing roadmap items or gaps. Deliverable: feedback synthesis report for roadmap review.
7. Distribute and archive: Share the synthesis with Product, Engineering, Design, and GTM stakeholders. Archive the raw dataset for longitudinal trend analysis. Deliverable: distribution confirmation and archived dataset.

Anti-Patterns

• Loudest-voice bias: Prioritizing feedback from the most vocal customer or the largest logo without weighting by frequency and breadth. Why: Single-customer feedback skews the roadmap toward bespoke needs rather than market-wide demand.
• Ingestion without synthesis: Collecting feedback into a repository but never producing a structured summary. Why: Raw feedback is unusable for decision-making; without synthesis, the ingestion effort is wasted.
• Stale feedback loops: Running ingestion once and never refreshing the dataset. Why: Customer needs evolve; quarterly or continuous ingestion is required to keep roadmap decisions grounded in current reality.
• Ignoring internal feedback: Excluding input from Sales, CS, and Support who interact with customers daily. Why: Internal teams surface patterns that customers may not articulate directly, especially around adoption friction and competitive displacement.

Output

On success: A feedback synthesis report containing impact-weighted theme clusters, representative quotes, frequency data, and mapping to roadmap items — ready for consumption in the next roadmap review cycle. On failure: Report which sources could not be accessed or normalized, the coverage gap as a percentage of known channels, what partial synthesis is available, and a recommendation on whether to proceed with incomplete data or delay the review.

Related Skills

• business-model-sketcher — sibling skill under the same agent — combine with business-model-sketcher for end-to-end coverage
• competitive-response-monitor — sibling skill under the same agent — combine with competitive-response-monitor for end-to-end coverage
• goal-framer — sibling skill under the same agent — combine with goal-framer for end-to-end coverage