AI-Powered Product Management: From Idea to Launch

Most PMs use AI for scattered tasks — a summary here, a draft there. This workshop shows what it looks like to use AI as a working partner across the entire product lifecycle, from the first signal of a customer problem to the dashboard that tells you whether you solved it.

Drawing on real workflows from day-to-day PM work at Stripe, this session walks through how AI (specifically Claude) fits into each stage of taking a product from idea to launch — not as a novelty, but as a genuine part of the operating rhythm.

Who This Is For:
PMs at any level who are curious about moving beyond one-off AI use cases (writing a PRD, summarizing a doc) toward a more integrated way of working. No technical background required.

What We'll Cover:

1. Problem Discovery
Using AI to analyze qualitative customer feedback at scale and spot patterns in quantitative data — turning a pile of support tickets, sales calls, and survey responses into a clear view of the actual problem.

2. Ideation & Prototyping
Generating and stress-testing solution concepts, then using AI-built prototypes to make ideas tangible fast — for both internal alignment and early user testing, well before engineering is involved.

3. Planning the Build
Using AI to help structure and manage a build plan — breaking down scope, thinking through sequencing, and keeping a project's moving pieces organized.

4. Design Experiments
Running structured experiments (A/B tests, design comparisons) with AI as a thought partner — from experiment design to interpreting results.

5. Measuring & Iterating
Building dashboards and success metrics with AI, and using it to close the loop — turning post-launch data back into the next round of discovery.

Format:
A mix of walkthrough and live demo — seeing real (anonymized/sanitized) examples of prompts, workflows, and outputs at each stage, with time for Q&A throughout.

What Attendees Will Leave With:
- A mental model for where AI fits across the PM workflow, not just as a writing tool
- Concrete, adaptable workflows/prompts they can try in their own work
- A realistic sense of where AI helps most — and where it doesn't

Speaker Bio:
Skye Bacus is currently helping millions of people run and optimize their businesses in the Stripe Dashboard. With over 10+ years of experience in product, she has a history of building experiences that end users love through 1:1 user interviews, data analysis, and a thorough understanding of the competitive landscape. She enjoys rolling up her sleeves to build data pipelines, design and run experiments, ship her own changes, and wear whatever hat is necessary to create great user experiences.