Telemetry-Free Feedback

Let privacy-first products hear users without collecting any data

Problem

A developer building an AI conversation saver promised zero telemetry, and now has no idea where users get stuck or why they churn; a feedback form got almost no use beyond an occasional "it's not working." The more a privacy-sensitive product promises not to collect data, the harder it is to get actionable signals.

Solution

An embeddable feedback widget that, on explicit user action, generates a local anonymized usage summary (e.g. how often a feature was opened) and uploads only user-reviewed text and checkboxes with no identifiers. A dashboard clusters feedback into recurring issue tags to help prioritize.

Users

Indie developers and small teams building privacy-sensitive products (notes, encryption, AI chat, health)

MVP

Embeddable feedback modal; locally generated anonymized usage summary with user preview; feedback dashboard with tag clustering; one-click weekly digest export

Revenue

Open-source widget free; hosted dashboard subscription by feedback volume, $9–29/month

Why now

Rising privacy awareness pushes developers to drop telemetry, but few tools balance user trust with product insight; a component-sized product is manageable for one person