YOUR PRODUCT TEAM HAS AI. THEY'RE STILL DROWNING IN USER FEEDBACK.
We train product teams to use AI for research synthesis, competitive analysis, and specification writing — so they ship faster with better decisions.
Your PMs have ChatGPT or Copilot. They use it to brainstorm feature names or clean up Jira tickets. That's a rounding error on what AI can do for product. We run workshops with your actual user research data, your roadmap, your competitive landscape — turning AI from an occasional helper into a core product workflow.
80%
Faster research synthesis
4×
More user insights extracted
3
Week training program
60%
Less time writing specs
AI CHALLENGES PRODUCT TEAMS FACE
The patterns we see in product orgs that have AI tools but no AI workflows.
Drowning in User Feedback Without Insights
Your product team has thousands of NPS comments, support tickets, user interviews, and feature requests. Nobody has time to synthesize them. Key patterns get missed, roadmap decisions happen on gut feeling, and your voice-of-customer data sits in spreadsheets nobody reads.
Market Research That's Always Outdated
By the time your competitive analysis deck is finished, three competitors have shipped new features. Product teams need continuous competitive intelligence, but the manual research process is too slow. AI can make this real-time — but nobody's built the workflow.
Specs and PRDs That Take Days to Write
Your PMs spend days writing PRDs, user stories, and acceptance criteria. It's necessary but repetitive work that keeps them from the strategic thinking they were hired for. AI can generate 80% of a spec from research inputs — but your team treats it like a blank-page brainstorming tool.
WHAT YOUR TEAM WILL LEARN
Practiced with your actual user data, roadmap, and product stack.
User Feedback Synthesis at Scale
Upload thousands of NPS responses, support tickets, and interview transcripts into AI. Get back categorized themes, sentiment analysis, and prioritized feature recommendations. Your team learns to turn raw qualitative data into roadmap-ready insights in hours, not weeks.
Tools: ChatGPT, Claude, NotebookLM
Competitive Landscape Mapping
Build AI-powered competitive analysis workflows that track feature changes, pricing updates, and positioning shifts across your competitive set. Generate comparison matrices and strategic recommendations automatically — always current, always actionable.
Tools: ChatGPT, Perplexity, Claude
PRD and Spec Generation from Research
Feed AI your user research, competitive analysis, and strategic context to generate comprehensive PRDs complete with user stories, acceptance criteria, and edge cases. Your team learns to use AI as a spec co-author that handles the 80% so PMs can focus on the 20% that requires judgment.
Tools: ChatGPT, Claude, Notion AI
HOW IT WORKS
A structured program that builds lasting AI skills, not one-off workshops.
AUDIT & DISCOVERY
We interview your team, review current AI usage, and map your workflows. This shapes a training program built around your actual daily work — not generic tutorials.
HANDS-ON WORKSHOPS
2-3 intensive workshop sessions where your team practices AI workflows using their real data, real documents, and real challenges. Every participant leaves with workflows they can use tomorrow.
FOLLOW-UP & MEASUREMENT
30-day check-in to measure adoption, troubleshoot sticking points, and introduce advanced techniques. We track before/after metrics so you can quantify the impact.
PRODUCT WORK THAT AI GENUINELY COMPRESSES
Product teams are drowning in unread inputs: interview transcripts, support tickets, sales objections, churn surveys, competitor releases. The bottleneck is not writing the PRD — it is reading everything that should inform it. That is the part AI compresses honestly, and it is where we focus the programme.
Research synthesis with the evidence attached
Teams learn to turn twenty interviews into themes that link back to the exact quote and timestamp. The discipline matters more than the speed: a synthesis you cannot trace is worse than no synthesis, because it gets quoted in a roadmap review as if it were evidence.
Specs, edge cases and the questions nobody asked
We use AI as an adversarial reader on your own PRDs — what is ambiguous, what breaks at the boundaries, which non-functional requirement is missing, what an engineer will ask in refinement. Most teams find this more valuable than draft generation, because the cost of a missed edge case shows up three sprints later.
Stakeholder communication in three registers
The same decision has to be explained to engineering, to sales and to the executive committee, and product managers lose real hours re-cutting it. We build that translation as a workflow with your actual audiences and constraints, including what must never be simplified away.
FREQUENTLY ASKED QUESTIONS
Our PMs already use ChatGPT daily. What's different?
Do you cover AI for technical product decisions too?
Can this work alongside our existing product methodology (SAFe, Shape Up, etc.)?
How do you handle proprietary product data during training?
Can AI replace user research?
Do product managers need technical AI knowledge for this?
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STOP GUESSING.
START TRAINING.
Book a free 30-minute AI training audit. We'll assess your team's current AI usage and outline a training plan tailored to your workflows.