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Simulation Programme · 5 days

Product Management

Own a product. Ship it. Prove it worked — AI-assisted at every stage.

A product simulation. You inherit a real problem space, run discovery, write the specs, prioritise ruthlessly, launch, then read the metrics and decide what happens next. AI co-pilots accelerate research, draft specs and model scenarios.

5 evenings · 4 hours eachDiscovery interviewsRoadmap defenceAI co-pilots: Claude · ChatGPT · Gemini

Simulation Game

Pick a character. Start as a sales rep. Finish as CEO.

Every programme runs as a career simulation game — four characters, six ranks, and a USD 10,000,000 investment to allocate in the final round.

Session by session

01
Session 1

Problem Discovery & Users Fall in love with the problem

Users don't want your feature, they want their problem gone.

Run discovery, synthesise insight and define the problem worth solving. Use AI to summarise interview notes and spot patterns.

  • Discovery interviews and jobs-to-be-done
  • Personas and problem statements
  • Opportunity solution trees
  • AI lab: interview synthesis and persona drafting
  • Deliverable: problem brief + persona set
02
Session 2

Strategy, Positioning & Metrics What winning looks like

Choose the metric before you build the thing.

Set product strategy, positioning and the success metrics you will be judged on. AI helps map competitive positioning.

  • Product vision and strategy canvas
  • Positioning and differentiation
  • North-star metric and KPI tree
  • AI lab: competitive-landscape and positioning prompts
  • Deliverable: product strategy one-pager
03
Session 3

Roadmap & Prioritisation Saying no with evidence

A roadmap is a list of bets, not promises.

Score the backlog, sequence the work and defend the trade-offs. AI generates scenario comparisons to stress-test your bets.

  • RICE, MoSCoW and cost of delay
  • Now-next-later roadmapping
  • Stakeholder alignment
  • AI lab: scenario and trade-off modelling
  • Deliverable: prioritised roadmap
04
Session 4

Delivery, Specs & MVP Building the smallest honest version

Scope is the only lever you fully control.

Write the specs, define the MVP and run the delivery cadence. AI drafts user stories and acceptance criteria from your PRD brief.

  • User stories and acceptance criteria
  • MVP scoping and prototyping
  • Agile cadence and working with engineering
  • AI lab: story and acceptance-criteria generation
  • Deliverable: PRD + MVP scope
05
Session 5

Launch, Analytics & Iteration The launch is the start

Ship, measure, decide — then do it again.

Plan go-to-market, instrument the product and choose the next move from data. AI builds the launch copy and experiment plan.

  • Go-to-market and launch checklist
  • Product analytics and experiment design
  • Retention, activation and pricing signals
  • AI lab: launch copy and experiment backlog generation
  • Deliverable: launch plan + experiment backlog

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