Audience Builder

A guided workspace for audience strategy.

Stop reinventing the persona template every quarter. One canvas, a guided flow, and an AI partner that drafts alongside you — so you finish with a strategy your team will actually use.

Today on your canvas

  • Define ICP characteristics
  • Draft 3 JTBD statements
  • Validate top 3 triggers
  • Export brief to Markdown
Synthesis ready · 24 insights collected

How it works

From paragraph to playbook in four moves.

01

Describe the product

Drop in a paragraph, a deck, or a URL. Fraym reads it and primes the workspace.

02

Complete the canvas

A short, guided flow with smart prompts. AI drafts, you decide — never the other way around.

03

Generate JTBD & messaging

Synthesize jobs-to-be-done, value props, headlines, and tone notes from your canvas.

04

Export your strategy

Push to Notion, Google Docs, or a polished PDF brief in one click. Re-export any time.

fraym.app / workspace / audience · embedded-codegen

Step 3 · How they think

How does this audience think about the problem?

01Skeptical of AI hype but desperate for leverage on legacy codebases.
02Believe code review is where quality actually lives.
03Prefer tools that respect their existing workflow over rip-and-replace.
04Trust peers and GitHub stars more than vendor marketing.

Suggested insight

Your audience treats trust as a precondition, not an outcome. Lead with proof-of-work (open benchmarks, real PRs) rather than capability claims.

Example output

A real canvas for an embedded code-gen SaaS.

We ran a Fraym canvas for an imagined product: an AI code-generation SaaS embedded inside enterprise IDEs. Here's the export — every section generated from your inputs.

Audience summary

Staff & principal engineers at mid-market enterprises modernizing 10+ year-old codebases.

They own a fragile but business-critical service. Leadership wants AI leverage; their team wants to keep shipping safely. They're the bridge.

Top JTBD

When I'm reviewing a long-tail bugfix in a legacy module, help me generate a safe, test-covered patch so I can close the ticket without blocking on tribal knowledge.

Messaging angle

"The AI pair-programmer that reads your repo, not the internet.Ship safer patches in code you didn't write."

Triggers

  • • New CTO mandate to "adopt AI tooling this quarter"
  • • Failed migration retro names tribal knowledge as the root cause
  • • A senior engineer announces departure

Objections to disarm

  • • "Our codebase is too weird for general models."
  • • "Security won't approve an external service touching our repo."
  • • "We tried Copilot and the team turned it off."
Generated from canvas · 142 inputs synthesized Export as PDF

Features

Everything you need, nothing you don't.

Guided canvas

Connected sections with prompts written by senior product strategists.

AI co-drafting

Suggested answers, language refinement and synthesis — always reviewable.

Versioned canvases

Iterate on audiences, compare drafts, and branch a canvas for a new segment.

Shareable briefs

Public read-only links with view tracking. Stakeholders can comment inline.

One-click exports

Notion, Google Docs, Markdown, PDF — formatted, not flattened.

Private by default

Your inputs are never used to train shared models. SOC 2 in progress.

Who it's for

If audience clarity is on your plate this quarter.

  • Founders sharpening their first ICP.

  • Product marketers writing positioning that survives sales.

  • UX researchers turning interviews into structure.

  • Consultants delivering strategy in days.

Open a canvas. Finish a strategy. Today.

Audience Builder is free to try. No credit card, no setup, no "book a demo."