AI-Native Product Intelligence
You Have the Data.
You Don’t Have the Answers.
Every week your leadership team makes pricing, retention, and prioritization calls without the analytics infrastructure to know if they’re right.
That gap compounds. Quietly. Then all at once.
Gradient Growth gives AI-era companies a fractional Head of Data who delivers weekly decision memos, insight cycles, and experiment designs. Senior-level thinking at a fraction of the cost of building an internal team.
What We Do
Three problems. Three systems.
Each engagement starts with a diagnosis. Most clients have the same three gaps, just at different stages.
Analytics Foundation
Your metrics live in a shared Google Sheet that three people understand.
We build the measurement layer your leadership actually trusts. KPI frameworks, automated reporting, and a metrics architecture that scales past Series B. Most clients go from 'we think retention is okay' to 'we know exactly which cohorts are churning and why' within the first month.
Growth Intelligence
Your team takes two weeks to answer a question the board needed yesterday.
Weekly decision memos with retention analysis, funnel diagnostics, and experiment designs. Not a dashboard your CEO checks once and forgets. A decision system that tells leadership what to do next, with the evidence to back it.
Decision Systems
You have dashboards. Nobody looks at them after week two.
A good dashboard shows you what happened. A decision system tells you what to do about it. We build AI-augmented analytics infrastructure that turns your data into a competitive advantage your competitors can't replicate.
Who This Is For
Sound familiar?
If any of these describe your company, you’re leaving money on the table every single week.
- You raised your Series A but your analytics is still a shared Google Sheet.
- Your CEO asks 'why is retention dropping?' and nobody has a confident answer.
- You're hiring analysts but need someone to tell them what to analyze.
- You've outgrown 'we'll figure it out later' but can't justify a $400K Head of Data.
The Real Cost
What bad analytics actually costs you
The most expensive analytics problem isn’t wrong numbers. It’s decisions made without any numbers at all.
Wrong pricing decisions on gut feel
$50K–$200K in missed revenue per quarter
3+ meetings per decision that should take one
Hundreds of hours of executive time per year
Analytics hires without strategic direction
$150K salary producing dashboards nobody checks
Shipping features without usage data
6 months of engineering on the wrong problem
Our Thesis
AI tools are a starting point. AI systems are the advantage.
We wrote the framework on how organizations move from giving individuals AI tools to building knowledge production systems that transform what’s possible.
Read: The Industrialization of Knowledge Work
30 minutes. Free. No pitch deck.
You’ll leave with a clear diagnosis of your analytics gaps and a prioritized list of what to fix first. Even if we never work together, the call alone will save you months of guessing.
Get Your Free Diagnosis