Kristopher Baker iOS roots · Product systems · AI-assisted workflows
← All work
Wolt / DoorDash · Sole developer · 2025

Building a telemetry tool for faster, more confident product iteration

A leverage system for product iteration: real-time app telemetry streamed to a local desktop client over WebSocket, with searchable, filterable views. Replaced a slow in-app viewer and made instrumentation work faster and more trustworthy across teams.

2 min read

iOSmacOSInternal toolingTelemetryWebSocket

Self-initiated

origin

iOS + macOS

platforms

Cross-team

adoption

Building a telemetry tool for faster, more confident product iteration

Context

At Wolt, verifying analytics (telemetry) events in development was slow and cumbersome. Engineers relied on a full-screen in-app viewer with no search or filtering, which made instrumentation harder to trust.

The problem

This made it difficult for engineers and product teams to:

Approach

I designed and built a telemetry viewer that streams events from the app to a local desktop client. The goal was not just a nicer viewer. It was a small leverage system for shortening the loop between product intent, instrumentation, and release confidence.

Key elements:

I introduced it gradually:

I also supported cross-platform adoption by helping an Android engineer implement a similar solution.

Outcome

My role

Self-driven initiative that I discovered a need for and developed from concept to adoption across teams.

Next

Improving subscription conversion through cart and checkout entry points Wolt / DoorDash