Product Growth/Growth Experimentation and A/B Testing
Growth Experimentation and A/B Testing
Opinions are expensive. Evidence is cheap. We run a disciplined experimentation program that tells you what actually moves your numbers, so you stop guessing and start compounding. A decade of craft, 250+ products shipped across 20+ countries.
Every team has ideas about what will grow the product. Most of them are wrong, and that is normal, even good teams see a majority of experiments fail.
The difference between teams that grow and teams that stall is not better ideas, it is a system for testing them cheaply and killing the losers fast. Experimentation turns growth from a gamble into a process.
Growth experimentation is a structured way of testing changes to a product or funnel to learn what improves key metrics, using controlled experiments like A/B tests. Noseberry builds and runs the experimentation program, hypotheses, tests, analysis and learning, so growth decisions are based on evidence and every result compounds into the next.
Ideas pile up but nothing is tested properly.
Tests run but results are misread or inconclusive.
Growth has plateaued and no one knows the next lever.
Decisions are made on the loudest opinion in the room.
Experiments that turn ideas into evidence.
Our approach for each, and exactly what you walk away with.
Experimentation strategy and roadmap
How we do it
We map your funnel and metrics, then build a prioritised backlog of high-leverage hypotheses.
What you receive
A ranked experiment roadmap tied to the metrics that matter most.
Hypothesis design
How we do it
We frame each test as a clear hypothesis with a predicted effect and a success metric, so a result means something.
What you receive
Well-formed hypotheses that produce decisions, not ambiguity.
A/B and multivariate testing
How we do it
We design, build and run controlled tests with proper sample sizes and statistical rigour.
What you receive
Trustworthy test results you can act on with confidence.
Experiment analysis
How we do it
We analyse results for significance and for why they happened, not just what happened.
What you receive
Clear read-outs with a decision: ship, iterate or kill.
Experimentation operations
How we do it
We set the cadence, tooling and process so experiments run continuously, not occasionally.
What you receive
A repeatable experimentation engine your team can sustain.
Learning library
How we do it
We record every experiment and its outcome so insight accumulates instead of being lost.
What you receive
A growing library of validated learnings that speeds up future decisions.
We optimise for learning velocity, not a flattering win rate.
A program where every test wins is a program that is not being brave enough. High-performing teams expect most experiments to fail, because the point is not to be right, it is to find the few changes that genuinely move the needle, quickly and cheaply, and pour resources only into those.
Evidence in, growth out.
- 01Prioritise
- 02Hypothesise
- 03Test
- 04Analyse
- 05Bank the learning
A prioritised experiment roadmap, a running testing cadence, trustworthy results, and a learning library that compounds, so growth becomes a process you own.
70%
cost efficiency
2x
faster go to market
35%
shorter project timelines
Experimentation outcomes added as they accrue.
2M+
lives touched
15+
Fortune 500 clients
250+
products delivered
20+
countries
Consulting led by the founders who built Noseberry.
Atul Kumar Yadav
Founder & Chief Executive Officer
Atul founded Noseberry in 2019 and sets its vision across AI, data, cloud and product. He has guided strategy and delivery for enterprises and high-growth companies across 20+ countries, and works hands-on with founders to decide what is worth building.
Connect on LinkedIn
Mayank Pokharna
Co-founder & Chief Operating Officer
Mayank co-founded Noseberry and runs operations and delivery as COO, leading 100+ engagements across 14+ countries spanning product, software and AI. He partners directly with clients to turn strategy into products that ship and grow.
Connect on LinkedInProduct growth, answered.
A structured way of testing changes to a product or funnel to learn what improves key metrics, using controlled experiments like A/B tests.
Showing two versions to comparable groups and measuring which performs better, so you know the change caused the result.
Enough to maintain learning velocity. Cadence matters more than any single test, and we set a rhythm your team can sustain.
Because bold testing means many ideas will not work. The value is in finding the few that do, quickly and cheaply.
More traffic gives faster, clearer results. With less, we lean on larger changes and qualitative evidence.
Both. We can run the program end to end or build the capability inside your team.
Let us turn growth into a process.
Book a free 30-minute call and we will find the levers hiding in your product.
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