01Research ops
Research isn't at work.
Insights trapped in decks. No one opens the Notion after week two.
Discovery at work.
Don't archive your research. Hire it.
You did the research. Then you decided without it. SmartDiscovery turns it into teammates in Claude and ChatGPT, in design, in backlog and code, and in the room via DecisionLab.
Research shouldn't end in a presentation. It should show up to work every day.
The collapse
When discovery isn't at work, context dies.
Research to Strategy to Product to Design to Marketing to Engineering. At every handoff the why gets lost. The most expensive game of telephone.
02Product
Context isn't at work.
Teams get what without why. PRDs without the human behind them.
03Design
Knowledge isn't at work.
Copywriters four layers removed from the interview that should write the copy.
04Leadership
Learning isn't at work.
Sharing a deck ≠ using it. Loom links don't make decisions for you.
05GTM
Every team builds a different customer.
Marketing has one. Product has another. Support knows the real one.
06Engineering
AI works without discovery.
Your AI writes code, copy and specs — never having met a single user.
The reframe
This isn't a knowledge management problem.
It's a decision-quality problem.
When discovery isn't at work, you execute perfectly and still build the wrong thing.
The answer
Put discovery to work.
What if understanding didn't have to be transferred? What if it could just come with you? The three are one loop: Labs and documents build a Discovery, Insights sharpens it one accepted claim at a time, MCP is how it travels into the decision.
01 — Discovery builds
Interviews become a model you can question.
Raw interviews, transcripts and journey maps turn into a structured, testable customer model. Not a summary — a teammate with memory.
- Interview → claim extraction
- Journey → behaviour model
- Deck → hirable persona
02 — Discovery sharpens
Every insight is a claim you accept or reject.
One accepted claim at a time, your Discovery gets sharper, more specific, more useful. Nothing is true because a model said it.
- Accept · reject · refine
- Confidence builds over time
- Findings trace to their source
03 — Discovery travels
Your persona shows up where the decision is made.
She doesn't live in a doc. She turns up in Figma comments, Jira tickets, Slack threads and code reviews — over MCP.
- Figma, Jira, Slack, GitHub
- Context in the tool, not beside it
- Interview her mid-decision
Discovery at work.
Let's build your team.
Don't archive your research. Hire it. One of these is true today.
Explore
It’s only in my head
A team of AI agents runs the ideation with you and builds a working model of your problem space — the people in it and how they move.
Align
I need buy-in
You run the workshop while AI agents add ideas, organise your team’s inputs and votes, and turn it all into a Discovery.
Ground
I’ve done my homework
AI agents read your research and build the model from it — your roles, your process, your language.