user-feedback-system_skill

Overview

This skill builds repeatable feedback collection systems grounded in Superhuman’s PMF survey and YC’s “talk to users” methodology. It helps teams implement PMF and NPS surveys, schedule and run user interviews, and close the loop on feature requests. The output is a practical, measurable feedback loop you can run weekly or quarterly.

How this skill works

The skill sets up in-app surveys and triggers, defines interview cadence and formats, and creates simple tracking for requests and metrics. It implements the Superhuman PMF question as a core metric, adds NPS monitoring, and embeds a weekly user interview habit to surface qualitative insights. It also provides templates for collection channels, prioritization (RICE), and status tracking to drive decisions.

When to use it

• To measure product-market fit quickly with a single clear metric
• When you need regular qualitative input through user interviews
• To add NPS and quantitative health checks for your product
• When launching features and wanting structured feature-request intake
• To create a repeatable process for reviewing and acting on feedback

Best practices

• Run the PMF survey after ~2 weeks of usage to capture real value perception
• Talk to users weekly or biweekly and watch them use the product, not just ask hypotheticals
• Follow up PMF answers with an open-ended question: "What's the main benefit?"
• Track requests centrally, score with RICE, and review feedback weekly
• Close the loop publicly: tell users what you built and why

Example use cases

• Add an in-app PMF survey triggered after two weeks to assess early retention risk
• Schedule weekly 30-minute user interviews to validate a new onboarding flow
• Run quarterly NPS campaigns and analyze verbatim follow-ups for common themes
• Collect feature requests via an in-app widget, prioritize with RICE, and publish status updates
• Use PMF % very disappointed >40% as a signal to scale growth efforts