Product diary

A visual snapshot of how I think through products.

Product manager working at a modern desk with analytics and planning tools
01

Listen first

Turn messy user comments into clear needs, patterns, and product questions.

02

Measure softly, decide clearly

Use metrics to reduce guesswork without losing the human context behind them.

AI product layer

Where product judgment meets intelligent systems.

Input

Users struggle to understand long support conversations.

AI capability

Summarization plus sentiment detection

User value

Faster context, clearer next action, less manual reading.

Metric

Time to resolution

Generate a product angle

AI feature concept

Click through lightweight AI concepts to see how I connect a model capability to a real user problem and a measurable product outcome.

01

Human-in-the-loop

Design AI flows where people can review, edit, override, and trust the output.

02

Prompt-to-product

Translate prompt ideas into workflows, permissions, UX states, and success metrics.

03

Responsible rollout

Plan evaluation, guardrails, feedback loops, and model-quality monitoring.

Interactive product thinking

Try a tiny prioritization studio.

RICE-style score 14.0

Strong candidate: validate with a small experiment, then roll out if activation improves.

Now Prototype onboarding checklist
Next Test weekly insight email
Later Scope smart automation
Email copied