7 Days. Fixed Price. Clean Events.
Your Product Deserves Clean Event Tracking.
Most startups track events wrong-realizing too late their data is broken.
I'll fix your events and deliver a clean, scalable taxonomy in 7 days-without hiring a full-fledged data team.
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
Want More? Additional Services
Beyond the 7-day sprint, we offer comprehensive data solutions
Product Analytics Enablement
6-12 Week Sprint
Build a complete analytics foundation-set up the right tools, track the right events, and enable your team to self-serve.
Tool setup
Amplitude, Mixpanel, Segment, etc.
Event taxonomy + QA
Work directly with engineers
Dashboard creation
Activation, retention, engagement
Team training & documentation
Enable self-serve insights
Outcome:
Reliable data
Clear insights
Fewer ad-hoc requests
Explore This Service
BI & Self-Serve Analytics Overhaul
6-12 Week Sprint
Fix broken pipelines, build clean dashboards, and give every team access to trusted insights.
Data audits + stakeholder interviews
Identify gaps & inefficiencies
Pipeline modeling
dbt, BigQuery, Snowflake, etc.
BI tool setup
Looker, Metabase, etc.
Dashboard redesign+team training
Enable self-serve insights
Outcome:
Reliable data
Clear insights
Fewer ad-hoc requests
Explore This Service
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.
case study
Real World Implementations
Series B Startup
Healthcare Tech
Implementing a Scalable Product Analytics Stack
Set up a scalable product analytics tech stack, transitioned 100+ key events from Google Analytics to Segment, and trained teams on Amplitude for self-serve insights.
70+
Events Instrumented
30%
in analytics adoption
30+
PM’s trained
View Case Study
Series B Startup
Healthcare Tech
From Messy BI to Self-Serve Insights
Migrated 30+ core BI models from Postgres to BigQuery, redesigned Looker dashboards for better UX, and trained PMs to self-serve data, leading to increased adoption.
3x
faster queries
30%
in analytics adoption
30+
PM’s trained
View Case Study
Enterprise Client
Healthcare Tech
Onboarding Enterprise Client to Analytics Ecosystem
Led the onboarding of a high-value client into the company’s Amplitude instance, enabling shared data access and strategic decision-making—contributing $450K in revenue.
$450K
revenue impact
30%
analytics sharing
10+
Trained external users
View Case Study
testimonials