AI training for product teams
Make your product team AI-native.
Live AI training for product managers and product teams. Connect research, design and delivery so your team can move from a customer question to a prototype worth testing.
Live, custom training · Remote-first · On-site by arrangement
Make onboarding easier to finish
- Evidence · Interview themes linked to sources
- Decision · Test a shorter setup journey
- Next step · Prototype the first three screens
Claude
Notion
LinearLearn to build the workflow behind the result.
Built for product
Start with a real task.
Leave with a better way to do it.
These are starting points for a custom programme. Choose the workflows that matter to your team; we shape the sessions around your tools, experience and goals.
Example workflowTurn customer feedback into a product brief.
01 · Start with your tools
ClaudeNotionLinearCustomer interviews, support themes and your brief template.
02 · Apply your process
Group the themes, link the evidence and separate observations from assumptions.
Build a reusable workflow or skill03 · Review the result
A product brief with customer needs, open questions and a next experiment.Your team checks and approvesPlus 10 more ways to put AI to work.
Open an example to see the inputs, process and output.
02Find patterns across customer interviews
Start withApproved interview transcripts and research questions.
Learn toCompare themes across participants and preserve links to the original remarks.
Walk away withA synthesis your researcher can check against the source material.
ClaudeNotion03Prototype a new user journey
Start withA product brief, design system and sample data.
Learn toBuild a clickable flow, review edge cases and iterate after a walkthrough.
Walk away withA prototype ready for a usability session.
Figma
Lovable04Prepare a prioritisation discussion
Start withCustomer evidence, estimated effort and business goals.
Learn toCompare opportunities against your criteria and flag missing evidence.
Walk away withA decision table with assumptions visible to the product team.
ChatGPT
Google Sheets05Turn a specification into delivery tickets
Start withAn agreed specification and your definition of ready.
Learn toBreak down the work, suggest acceptance criteria and identify dependencies.
Walk away withDraft tickets for the team to size and approve.
ClaudeLinear
Jira06Design an experiment
Start withA hypothesis, target audience and baseline behaviour.
Learn toDefine the decision, primary metric, guardrails and what would change your mind.
Walk away withAn experiment brief with explicit success and stop criteria.
ChatGPTNotion07Review product feedback each week
Start withNew support notes, research and account feedback.
Learn toGroup new signals by product area and distinguish recurring issues from outliers.
Walk away withA weekly evidence digest with links and suggested follow-up questions.
SlackNotionClaude08Map a competitive feature landscape
Start withPublic product pages and your comparison criteria.
Learn toResearch current capabilities, record sources and mark what needs verification.
Walk away withA sourced comparison for a positioning discussion.
PerplexityGoogle Sheets09Draft a launch brief
Start withThe release scope, user benefits and known limitations.
Learn toAdapt the message for support, sales and marketing without adding unsupported claims.
Walk away withAn internal launch brief and customer-facing draft for review.
NotionClaudeSlack10Explore product data
Start withAn approved, anonymised export and a product question.
Learn toInspect definitions, analyse segments and explain limitations before drawing conclusions.
Walk away withA reproducible analysis and questions for your data team.
ChatGPTGoogle Sheets
Codex11Build a reusable discovery skill
Start withYour research process, templates and examples of good work.
Learn toEncode the steps and review criteria, then test against a new product question.
Walk away withA documented skill the team can run, evaluate and improve.
Claude Code
Custom MCPsNotionTools & connections
A broader toolkit.
Built around your stack.
Your programme can combine AI tools with the systems your team already uses. Pick the right starting point, then learn how to connect the pieces.
You do not need every tool here. We agree software access, available integrations and technical depth before the sessions. Logos identify example curriculum tools, not partnerships.
Connect your context
Approved documents, CRM records, project tools and internal data, using native connections or custom MCPs where appropriate.
Teach your process
Turn your playbooks, templates and checks into reusable prompts, skill files and workflow steps.
Keep people in control
Review the output, handle exceptions and decide what can be automated after the workflow has been tested.
Your programme
Learn it together.
Use it in your work.
For product managers, product designers, researchers and product leaders. Start with a focused workshop series or build capability through a longer custom programme.
What your team develops
- Synthesis with traceable customer evidence
- Product briefs, prioritisation and experiment design
- Rapid prototypes and reusable discovery skills
- 01 · Scope
Choose the work
Map one priority workflow, the starting skills and what good output looks like.
- 02 · Practise
Build with an instructor
Work through live examples, get feedback and practise in your approved tools.
- 03 · Apply
Keep a reusable system
Document the workflow, its skills and review steps so your team can keep improving it.
Define success before you start
Measure the work,
not the tool count.
Agree a baseline and compare like-for-like tasks after training. For product, useful measures might include:
- Time from research to a reviewed brief
- How often recommendations link to evidence
- Prototypes tested with real users
These are proposed measures, not promised improvements or customer results.
Learn with practitioners
The people behind
your programme.
Practical instruction, live feedback and a curriculum shaped around the work your team needs to do.
See the work behind the training
Inside a Modern Health AI workshop
Before you book
AI training for product.
Your questions, answered.
Your next step · 15-minute call
What could your product team
do differently?
Bring one workflow and the tools you use. We'll discuss a practical starting point, the right format and an indicative budget.
Share your team details, then choose a time on the calendar. No obligation to buy.