Thoughts on Product, Data & Building
Lessons from product thinking and technical execution.
14 articles shown
- AI · 6 min read
Choosing a Product Without AI in It
I ranked my next side project on five criteria. The AI-heavy ideas scored highest on excitement and lowest on everything that predicts a finished tool.
- Data · 6 min read
Cohorts Before Dashboards
Two products can share a DAU line and have opposite futures. A retention curve cut by acquisition cohort tells you which one is actually compounding.
- Product · 6 min read
From ‘It Looks Off’ to a Ranked Tracker: Running a Figma-to-Live Parity Audit
When a design review ends with “it looks off”, nobody can pick anything up. The method I use to turn that verdict into ranked, located, owned tracker rows.
- Career · 6 min read
What a Year of Internships Taught Me About Product Work
About a year of internships across three companies, and no vision decks. What the job actually is at intern level, and five lessons from getting it wrong.
- Product · 6 min read
Seventeen Checks Before You Call a Site Done
A seventeen-item launch checklist looked like a week of work. Ten items were already done, and the four worst defects were never on the list at all.
- AI · 6 min read
The PRD Is Dead, Long Live the Eval Set
A PRD can pass review with no blocking comments and still leave nobody able to tell whether the feature works. Prose cannot spec a probabilistic system.
- Product · 4 min read
Designing a Self-Hosted Experimentation Platform
Experimentation is the PM's scientific instrument — and the tooling most teams outsource. What I learned building ExperimentHub: assignment as a pure function, ingestion that can't slow the product, and statistics that respect peeking.
- Product · 4 min read
Turning a Privacy Contract into a Regression Suite
Privacy policies are promises with no test coverage. On Better-Half I turned every sharing rule into a database policy and 575 checks that caught two leaks.
- Product · 4 min read
The Three Metrics That Actually Matter for PMs
Teams track DAU, WAU, MAU, D1/D7/D30, NPS, CSAT — and still decide in the meeting on whoever argues loudest. The three metrics I keep, and the decision each one is wired to.
- Product · 4 min read
Building My Portfolio Like a Product
Updated through v6: from a 2-hour HTML page on, each release fixed a specific failure of the one before. What running a site like a product taught me.
- AI · 4 min read
Shipping LLM Products Starts With the Eval Harness, Not the Prompt
A prompt is an artefact. An eval harness is a product. Here's how I scope LLM features so the output doesn't surprise users — or me.
- Career · 5 min read
Why PMs Should Code (And When to Stop)
There are two ways for a PM to get technical fluency wrong: not seeing why a “simple” feature takes three sprints, and reaching so far into the code that you rewrite an engineer’s PR. Where the useful middle sits.
- Product · 5 min read
Data-Driven Doesn't Mean Dashboard-Driven
A dashboard without a decision framework is just a screensaver with numbers. On the difference between the metrics that tell you what happened and the ones that tell you what to do next.
- Product · 6 min read
A Structured Thinking Framework for Ambiguous Problems
Someone says “we need to improve the user experience” and the room nods along. That is unstructured ambiguity, and it is the raw material of the job. The four steps I put it through.