You collect feedback but it sits in a spreadsheet and nobody acts on it.Feedback system built today.

NPS surveys that do not produce action typically have two problems: collection without context (a score of 6 with no follow-up question does not tell you why the customer scored low), and collection without routing (negative feedback arrives in a data dump that no one owns). The specialist implements NPS with structured follow-ups: after the initial score question, promoters are asked what they value most (surfaces positive signals for marketing), passives are asked what would make them a promoter (surfaces improvement opportunities), and detractors are asked to describe the specific issue. Detractor responses route automatically to the account manager or customer success team with a task to follow up within 24 hours. The NPS dashboard shows score trend, promoter/passive/detractor breakdown, and the most common themes from open-text responses.

Feedback collection needs to meet customers where they are, not require them to navigate to a separate feedback portal. The specialist implements feedback collection across: in-app surveys triggered by specific product events (after completing a key workflow, after a support ticket is resolved, after a billing event), email surveys sent at scheduled intervals or lifecycle triggers (30 days after onboarding, 90 days before contract renewal), in-product feedback widgets (thumbs up/down on specific features, embedded on high-traffic pages), post-interaction surveys sent automatically after support tickets close, and periodic relationship surveys (annual NPS or CSAT survey to all active customers). Each channel is connected to the same tagging and routing system so feedback from all sources is analysed together.

Manual feedback tagging does not scale - your team cannot read and tag 500 responses per week. The specialist implements automated tagging using keyword and pattern matching for common topics (pricing, performance, missing feature, support quality, onboarding difficulty) combined with optional sentiment scoring. Tags are applied automatically when feedback arrives, with a human review queue for responses that do not match existing tag rules clearly. Feedback with the same tag can be aggregated to show the volume and trend of a specific issue over time - so product management can see "performance complaints increased 40% this quarter" rather than reading individual responses. Custom tag hierarchies are configurable by your team without engineering involvement.

Feedback routing rules determine who receives and owns each piece of feedback based on its content and context. The specialist implements: product-related feedback routed to the product manager with a weekly digest of tagged themes, support-related feedback routed to the support team lead, sales-related feedback routed to the account manager for the customer, negative NPS from high-value accounts escalated immediately to customer success leadership, and feature requests aggregated into a product feedback board that product managers can use to prioritise roadmap decisions. Each routing rule includes notification method (email, Slack, CRM task creation) and an SLA for response time. The routing system creates accountability - every piece of feedback has an owner, not just a data record.

Feedback analytics go beyond trend charts and survey averages. The specialist implements: theme clustering (grouping open-text responses by semantic similarity to surface emerging issues before they appear in quantitative scores), segment analysis (filtering feedback by customer plan, company size, industry, and tenure to identify which segments have different experience patterns), correlation analysis (does NPS score correlate with specific product usage patterns, support ticket volume, or renewal behaviour?), feedback-to-action tracking (for each piece of feedback that generated an action, tracking whether the follow-up was completed and whether subsequent surveys from that customer showed improvement), and a feedback roadmap view that connects customer feedback themes to specific product initiatives so your team can show customers that their feedback led to changes.

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