Case Studies
Real experiments.
Real outcomes.
Not polished success stories. Each case study documents a real SaaS growth challenge I studied or worked on — including what I tested, what I learned, and what I'd do differently.
Cases are being documented
I'm working through real experiments and writing them up properly — with full context, honest results, and lessons learned. No dummy content, no filler. Only real cases when they're ready.
What to expect
How I document cases
Each case study follows the same structure so you can quickly find the insight that matters to you — no fluff, no filler.
The context
What the SaaS product does, who it serves, and what problem the growth challenge was trying to solve.
The hypothesis
The specific belief or assumption that drove the experiment — what we expected to happen and why.
The experiment
What was tested, how it was set up, what signals were tracked, and over what time period.
The outcome
Honest results — what moved, what didn't, and the data behind it. No cherry-picking.
The lessons
What I'd do differently, what generalises beyond this case, and what questions it opened up.
The frameworks
Any mental models or frameworks that shaped the thinking — and whether they held up under pressure.
My process
Learn → Experiment → Document
Identify
A real growth challenge worth studying
Hypothesise
Form a clear, testable belief
Experiment
Run it with proper signal-tracking
Document
Write it up honestly — wins and failures
Anatomy of a case
What each case includes
Every published case study will be structured consistently so you can skip to what matters.
Section 1
Background
Product overview, target market, and growth stage at time of experiment
Section 2
The challenge
The specific growth problem or opportunity that triggered the work
Section 3
Hypothesis
What was expected, why, and what success would look like
Section 4
Methodology
How the experiment was designed, run, and measured
Section 5
Results
Quantitative and qualitative outcomes — the honest data
Section 6
Takeaways
Key lessons, generalisable insights, and open questions
Topics covered
Case categories I'm working through
Cases will be tagged by topic so you can filter for what's most relevant to your work.
Content-led SEO
Search intent, topical authority, organic growth experiments
Brand & Positioning
Messaging clarity, differentiation, ICP definition work
Growth Experiments
Funnel tests, activation improvements, conversion hypotheses
User Behaviour
Retention patterns, friction mapping, systems thinking applied
SaaS Tools
Hands-on reviews of tools that support sustainable growth
SaaS Metrics
Unit economics, cohort analysis, ARR/NRR/churn deep dives
"I don't share case studies to prove I was right. I share them to document what I actually learned — including the wrong turns."
No vanity metrics. Results are reported honestly, including when experiments fail or produce inconclusive data.
No recycled advice. Every case is grounded in a real situation, not rephrased conventional wisdom.
No fake authority. I share what I study and what I work on — not what I wish I'd done.
While cases are being built — explore my learnings
My articles covers the same topics in detail. Articles, experiments, and frameworks — published as I learn.