PURPOSE-BUILT FOR OPPORTUNITY SOLUTION TREES

Your strategy, as a living tree.

Outcomes at the root, opportunities branching out, solutions at the tips. Outcomify makes the Opportunity Solution Tree a living system your whole trio works in — not a diagram you redraw every quarter.

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Decide with evidence, not the loudest opinion. Every opportunity carries its evidence and bet size, so the work that truly moves your outcome wins the roadmap.
Keep your whole trio aligned. One shared picture of what you're building and why — fewer status meetings and no clashing roadmaps.
Keep the thinking, quarter after quarter. Version history and an evidence trail mean reorgs and new hires don't erase how a decision was reached.

The canvas

See your whole strategy on one screen.

Zoom out to the org's outcomes, zoom in to a single assumption. Drag, branch and reconnect — the structure stays intact while you think.

The live opportunity tree, exactly as your team sees it.

Built-in AI · Canopy

Canopy does the legwork. You make the calls.

A discovery assistant that lives inside the tree — reading research, drafting nodes and keeping everything tidy, step by step.

01 · READS

Reads your research

Drop in interviews, tickets and notes. Canopy pulls out the signal worth keeping.

02 · DRAFTS

Drafts opportunities

Proposes opportunities and risky assumptions, placed on the right branch for you to approve.

03 · WEIGHS

Weighs the evidence

Summarizes what supports a bet and flags what's still just gut feel.

04 · TIDIES

Keeps the tree tidy

Merges duplicates and fixes hierarchy so the canvas stays readable over time.

Canopy AI discovering opportunities on the tree

Bring your own AI · MCP

And your own AI, over MCP.

Outcomify speaks the Model Context Protocol — so Claude, Cursor or any MCP client can read and edit your tree directly, from wherever you already work.

Connect any MCP client

Point your assistant at the Outcomify MCP server and it can add opportunities, link evidence and size bets — with every change landing as a structured node on the tree.

◆Claude›_Cursor◇ChatGPT⌘Raycast+Any MCP client

# connect your assistant over MCP
$ canopy mcp connect
✓ linked to outcomify workspace

tool add_opportunity(
  outcome: "Activate 10 teams",
  from:    "3 onboarding calls"
)
✓ drafted node · linked 3 evidence

Evidence & bet sizing

Back every bet with evidence.

Each opportunity carries an evidence strength — from gut feel to validated — and a bet size from effort × impact. The loudest voice stops winning the roadmap.

Evidence GUT → STRONG

Quick winStrong playMajor bet

Effort × impact bet-sizing priority matrix

Easy in, yours to keep

Up and running in minutes. Your data stays yours.

Bring an existing tree in a couple of clicks — and take everything out as clean data whenever you want. No lock-in.

Import in minutes

Start from what you already have. Outcomify maps it onto a proper tree structure on the way in.

MiFrom Miro▤CSV / sheet¶Paste notes▣Whiteboard image

Export your tree as data

The whole tree — nodes, evidence, versions — is exportable and reachable by API. It's your strategy; keep a copy.

{}JSON▤CSVM↓Markdown{ }REST API

GET /api/v1/tree/export
{
  "outcome": "Activate 10 teams",
  "opportunities": [ … ],
  "evidence": [ … ],
  "version": 142
}

Built to last

A discovery system that survives the quarter.

Reorgs, new hires, shifting priorities — the tree keeps its memory so the thinking isn't lost.

Full version history

Every change tracked. Replay how a decision was reached, months later.

Evidence trail

Assumptions stay linked to the research that validated or killed them.

Enforced hierarchy

The OST structure can't drift into a messy whiteboard over time.

Outcomes stay linked

Every solution traces back to a measurable business outcome.

Ready to stop shipping outputs?

Start a 14-day free trial and feel what outcome-driven discovery is like.

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