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My Product Thinking

Frameworks, grounded in real work.

Not a theory dump. Every entry starts with a product I've shipped, and the framework that shaped a real decision inside it.

01

Jobs-to-be-Done, applied to FitWardrobe

How I moved FitWardrobe from ‘another closet app’ to a morning ritual by rewriting the job around the user's actual outcome.

Project · FitWardrobe

02

RICE prioritization, applied to Mithivoices

Scoring an OSS backlog of 40+ modules against one axis: does this reduce time-to-first-agent for a stranger?

Project · Mithivoices

03

Opportunity solution trees, applied to SEO-GEO Optimizer

How I stopped jumping to solutions and mapped the AI-search space into opportunities before writing any code.

Project · SEO-GEO Optimizer

04

North-star + counter-metrics, applied to Credex

Choosing a metric that only goes up when the customer actually wins - and the counter-metrics that keep it honest.

Project · Credex Spend Audit

05

Discovery interviews, applied to AI-First CRM

How I ran problem-space interviews with field reps without leading the witness - and what I threw away because of them.

Project · AI-First CRM (HCP)

06

AI product tradeoffs I actually made

On-device vs cloud, eval design, latency vs quality - the concrete decisions I made, and what would make me revisit them.

Project · Across FitWardrobe, Mithivoices, HCP CRM