Fix Your Tracking × Build Self-Serve Analytics × Empower Your Team
Get Product Analytics Right.
From Day One.
Broken tracking, underutilized product analytics, and endless data requests?
I help Series A & B startups fix tracking, build self-serve analytics, and train teams—without hiring a full-fledged data team
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From fragmented data to a confident data growth engine
Target audience
Who Is This For
SERIES A STARTUPS JUST RAISED FUNDING
Raised funding? But everything's broken
Events breaking when questions matter
Engineers fixing data, not building features
Retention metrics don't add up
Data was ignored for too long. Now it’s a problem.
SERIES B TEAMS LOST IN DASHBOARDS
Grew fast. Now no one trusts the data.
50+ dashboards, zero clear answers
CAC vs. LTV needs translation
Product teams stalled by data backlog
Instead of testing ideas, teams waste time chasing numbers.
STARTUPS WITH UNDERUTILIZED TOOLS
Great tools. Still making gut decisions.
Enterprise tools barely used
Every data question becomes a project
Teams can't experiment without data
Tools don't fix problems. Systems do.
Problem Space
The current reality
Messy Event Tracking
Data lacks behavioral context
Miss psychological patterns
Wasted time fixing pipelines
Missed growth opportunities
Disconnected Data Systems
Analytical tools don't sync
Collaboration breaks across teams
Metrics are misaligned
Data is fragmented
Lack Of Actionable Insights
Poorly measured experiments fail
Missing key behavioral signals
Teams rely on guesswork, not data
Unsustainable growth tactics
Result? A Fragmented Mess...
No strategy behind experimentation
No proper setup to track what's working
Working with incomplete behavioral data
No growth systems
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services
Service packages
Product Analytics Enablement
6-12 weeks implementation sprint
Build a scalable, self-serve analytics system from tracking to insights.
Audit Analytics Setup
Identify gaps & fix tracking
Set Up Tools
Amplitude, Mixpanel, Segment
Design Event Taxonomy
Standardize event tracking
Implement & QA with Engineers
Ensure accurate tracking
Train PMs & Teams
Enable self-serve insights
Build Dashboards
Track retention, activation, and engagement
Outcome:
Reliable data
Clear insights
Fewer ad-hoc requests
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BI & Self-Serve Analytics Overhaul
6-12 weeks implementation sprint
Fix data silos, build scalable BI, and enable self-serve analytics.
Audit BI Setup
Identify gaps & inefficiencies
Stakeholder Interviews
Prioritize high-impact dashboards
Design Data Models
Optimize for BQ, Snowflake
Implement with Data Teams
Ensure clean, scalable pipelines
Set Up Looker/Metabase
Enable self-serve insights
Build Key Dashboards
Focus on 80/20 impact
Train Teams
Empower PMs, analysts, & leadership
Outcome:
Faster insights
Scalable BI
Fewer ad-hoc requests
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case study