What are Outcomes?
An Outcome is what your end user receives at the end of a product — personalised, and built from what they told you.
An Outcome is the deliverable at the end of every AI product. Once the conversation is complete and the AI has what it needs, it produces the Outcome — something specific to that person, built from their answers.
This is what separates Productised from a lead form or a quiz: your end user doesn't get a generic results page, they get something that reflects their situation.
The four Outcome types
Standard
The AI streams a personalised written result straight into the product — a report, plan, or analysis. The fastest way to deliver a personalised result, and the default for most products.
Advisor
After collecting answers, the AI continues as a live personalised advisor in the same chat — great for coaching intake and consultation-style products.
Page
A fully custom HTML results page, generated per respondent at a shareable URL — scores, charts, branded layout. Designed in Claude via the connector. Best for premium, visual deliverables like scorecards.
Collect only
The answers are saved with no AI output at the end — for waitlists, applications, and simple intake. Add an Outcome later to turn it into a full experience.
How Outcomes connect on the canvas
Each Outcome is a node you add from the canvas toolbar and connect below your AI Product node. Most products route through an AI Agent node first — it analyses the collected answers and produces the structured outputs (scores, tiers, insights) that the Outcome then presents. See Connecting Powers and Outcomes.
What makes an Outcome personalised
The AI has the full conversation in context when it produces the Outcome — every answer, every nuance. A Standard result for a founder who said they're pre-revenue reads differently from one for a founder with an established product. Not because you wrote two versions, but because the AI understood the difference.