The implementation is broken
Events are missing, UTM attribution is wrong, naming conventions are a mess. The tool is running — but the data it captures can't answer real business questions.
The problem01 02 03
Three reasons analytics isn’t working.
Analytics isn’t self-serve
Only the CTO or a technical person can pull insights. Everyone else files a request and waits. The data exists — it just isn't accessible to the people who need it.
No system for improving metrics
There's no structured process to go from data → insight → hypothesis → experiment. Key growth questions take too long to answer. Decisions get made on gut.
Sound familiar?
Is this you? Signs your analytics isn’t working.
- You have Mixpanel, Amplitude, or Pendo — but the team doesn't trust the numbers
- Only one or two technical people actually use the analytics tool day to day
- You can't answer basic questions like “where are users dropping off?” without calling engineering
- Your north star metric exists on a slide — but nobody tracks it consistently
- You run product experiments but can't measure their actual impact
- Every team has a different definition of “active user” or “conversion”
How we do it
Four stages. From broken to self-serve.
We don't start by opening the analytics tool. We start with the business questions each team needs to answer — then build everything backwards from there.
Metrics Definition
Week 1We review the full customer journey and define what actually matters: north star metric, sub-metrics, and the key business questions analytics must be able to answer for each team.
Deliverables- North star metric + sub-metrics per team
- KPI Dimension Map
- Key business questions analytics must answer
Tracking Plan & Audit
Weeks 2–4We audit the current implementation, fix what’s broken, and build a complete tracking plan. Clean event taxonomy, correct UTM attribution, and validated coverage across all key flows.
Deliverables- Event Tracking Plan
- QA audit + fix doc
- Clean event taxonomy
Reporting & Enablement
Weeks 5–6We build dashboards for each team — product, growth, marketing, executive — and train everyone to use analytics independently. No more waiting for engineering to answer a data question.
Deliverables- Dashboards per team
- Alerts on critical metrics
- Training session + recording
Growth Analysis
Weeks 7–8With clean data and working dashboards, we go deep: funnel drop-offs, high-value segments, acquisition channel quality, retention patterns. Output is a prioritized experiment roadmap.
Deliverables- Full funnel analysis
- Growth Analysis Report
- Experiment roadmap
New · AI-powered analytics
Query your analytics in plain English.
We connect your analytics tool — Mixpanel, Amplitude, or Pendo — directly to Claude or ChatGPT via MCP. Anyone on the team can ask questions in natural language and get answers from real product data.
No SQL. No waiting for a dashboard. No asking engineering. The barrier to using your data drops to zero — which means faster decisions, more experiments, and higher ROI on the analytics investment you’ve already made.
Integration
Mixpanel
AmplitudeMCPClaudeChatGPT
Example queriesMixpanelAmplitudeMCPClaudeChatGPTWhich features are most used by users who retain past 30 days?
Answered instantly from your Mixpanel data — no dashboard, no SQL, no engineering ticket.
Where are users dropping off in the onboarding funnel this week vs last?
Claude queries your analytics tool in real time and returns the answer in seconds.
What’s the activation rate for users who came from our paid campaigns last month?
Any team member can ask this. No technical knowledge required.
Which cohort has the highest LTV and what do they have in common?
The kind of question that used to take a week. Now it takes a prompt.
Who this is for01 02 03
Built for product teams who need to move faster.
Head of Product / CPO
You're making product decisions — but you're not confident the data is right.
We audit and fix the foundation, define the metrics that matter, and give you dashboards you can trust. So product decisions are backed by data, not gut.
Product Manager
You know what you want to measure. You just can’t get the data.
We build the tracking plan, fix the implementation, and train you to pull your own insights. No more waiting on engineering for every analytics question.
Founder / CEO
You have an analytics tool. You’re not sure anyone’s really using it.
We get the whole team using data to make decisions — and connect your analytics to AI so insights are accessible to everyone, not just the technical people.