One decision workspace. Many ways to work.
datrix gives complex decisions a common frame: organize what matters, compare options, capture input, and keep people and AI oriented around the same evolving decision. Start from an AI conversation, direct refinement, or stakeholder input — then move between them as needed.
The matrix is not a one-time worksheet. It is the living workspace where the decision takes shape.
Begin where the decision already is.
datrix does not force decisions into a fixed workflow. Start from the conversation, the matrix, or the people involved — then move between those modes as the decision develops.
From AI conversations
Capture structure from a live or past AI conversation. datrix can extract options, tradeoffs, rationale, unresolved questions, and AI confidence attributes, then add them to the decision workspace with provenance so you can refine, correct, extend, or mark AI-generated content as approved.
From direct refinement
Work directly in the matrix when you know what needs to change. Add an option, adjust a priority, update a score, clarify rationale, or reorganize the decision without turning every edit into another conversation.
From stakeholder input
Invite the right people to contribute where their perspective matters. Ask for broad feedback, targeted input on one part of the decision, or a focused review before moving forward.
However you start, every contribution adds to the same living decision workspace.
More than a table. More than a record.
The matrix is the living workspace for the decision: what matters, what’s being compared, how each option is understood, where input came from, and why the decision is moving in a particular direction.
As people and AI contribute, the matrix keeps the decision organized. New information can update the structure. Changes stay visible. Rationale stays attached. The decision becomes easier to understand, easier to refine, and easier to carry forward.
What matters.Criteria, weights, and priorities are captured explicitly.
What’s being compared.Options stay visible, structured, and easy to compare.
Why it changed.Rationale, provenance, confidence, citations, and approvals travel with the decision.
Where it goes next.The matrix can inform future discussion, AI interaction, stakeholder input, and review.
| COMMERCIAL | PRODUCT | DELIVERY | Score | ||||
|---|---|---|---|---|---|---|---|
Price / TCO w5 | Contract w2 | Ease of use w4 | Features w4 | Setup ease w2 | Support w2 | ||
| HubSpot | 7 | M | 8 | HIGH | 9 | 78.3 | |
| 2Zoho | 9 | XL | 9 | MED | 8 | 76.6 | |
| 3Pipedrive | 8 | L | 6 | HIGH | 7 | 72.5 | |
Admin onboarding is faster — weighting it higher reflects the team’s priorities.
Update the decision directly.
Not every change needs an in-depth conversation. When you know what has changed — a priority, an assumption, a score, a piece of rationale, a new option — update it directly in the matrix.
Those changes become part of the shared decision frame immediately. People see the updated structure. Connected AI conversations can reason from the new context. The decision stays precise without forcing every participant to restate the whole story.
Edit the structure.Add, adjust, or reorganize options, criteria, weights, scores, and rationale.
Reduce re-explaining.Keep the latest understanding in the matrix instead of repeating context.
Keep everyone current.Changes become available to people and connected AI environments working from the same matrix.
Give AI the context it needs to stay useful.
AI is most helpful when it can reason from the actual decision structure: what matters, what’s being compared, what changed, and where uncertainty remains. datrix gives connected AI tools that shared frame, so the conversation stays grounded in the decision instead of drifting away from it.
AI can also contribute back to the matrix from live or past conversations. Those contributions carry confidence attributes and provenance, so people can understand where input came from, how reliable it appears, and how it has shaped the decision over time.
Structured context in.Connect a matrix so an agent understands options, priorities, rationale, and current state.
Structured input out.Extract useful input from active or past conversations with confidence attributes attached.
Transparent by design.Use provenance, citations, audit trail, and snapshots to understand how AI input shaped the matrix.
Human control through refinement.People stay in control by editing, correcting, extending, reverting, or marking AI-generated content as approved as understanding changes.
Bring people in where they can help most.
Not every contributor needs the whole picture. datrix lets a matrix owner invite people into the right part of the decision — the full workspace, one option, one criterion, one score, or a focused area of review.
This keeps participation efficient and relevant. Stakeholders can contribute from their area of expertise, decision owners can control visibility and editing, and everyone’s input stays connected to the shared decision frame.
Scoped participation.Invite people into the whole matrix or just the part where their perspective matters.
Expertise where it matters.Let contributors focus on the options, criteria, or scores they understand best.
Better buy-in.Give stakeholders a structured way to contribute instead of asking for vague feedback.
Durable record.Preserve who contributed what, why it mattered, and how it shaped the decision.
Start simple. Add AI wherever it helps.
datrix works as a standalone decision workspace from the start. Build and refine a matrix directly, use datrix’s inline AI inside the product, or connect datrix to the AI environments where you already work through MCP-powered workflows. These are not separate workflows — they are modes you can move between freely as the decision develops.
Use the mode that fits the moment. Work directly in datrix when you want precision. Use inline AI when you want targeted help inside the product. Use connected AI environments for existing conversations, more expansive AI-heavy work, broader conversations that contain a decision, or simply because you prefer working in those tools.
Work directly in datrix.Create, edit, compare, score, and refine decisions manually in the app.
Use inline AI.Ask datrix’s built-in AI for targeted help adding options, suggesting criteria, weighing in on scoring, surfacing tradeoffs, or refining the decision directly inside the product.
Use datrix where you already work.Connect supported AI environments to datrix through MCP and extensions, so the tools users already work in can read from and contribute to the matrix.
Mix modes freely.Use direct editing, inline AI, connected AI environments, and stakeholder input at the same time. Users can seamlessly move between connected environments while working on the same matrix.
Put your next decision on a shared frame.
Start as a standalone workspace, add inline AI, or connect the AI environments where you already work. You can move between them freely as the decision develops.
Free forever for individuals · 3 decisions/month · No credit card required