Compress the view
Remove dashboard sprawl and make experiment health, confidence, and movement legible at a glance.
Private & confidential
ConnectSelected case study / Product & experimentation
A local-first analytics and optimization platform that turns A/B test data into clear next actions, with AI assistance running entirely inside the client environment.
01 / The challenge
The team had access to plenty of data, but not enough clarity. Standard analytics tools surfaced reports; they did not help the team decide what to test next, why a result mattered, or how to act on it.
The opportunity was to create a focused alternative: a simpler operating view for experimentation, with an AI layer that could explain patterns and suggest practical optimization paths without sending sensitive data to a third-party model.
02 / The approach
Every screen was designed around the question that follows a metric: “What should we do now?”
Remove dashboard sprawl and make experiment health, confidence, and movement legible at a glance.
Bring audience context, variant performance, and qualitative observations into one decision surface.
Use a custom Ollama model running locally to interpret results without exporting proprietary data.
03 / The architecture
Node.js provides the durable application layer. Ollama makes the intelligence layer portable, inspectable, and local.
Client data remains inside the client-controlled environment. The model supports judgment; it does not replace it.
04 / The outcome
The product creates a shared language between marketing, product, and engineering: one place to understand what happened, what it means, and what deserves attention next.
Discuss the work