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Getting Started

Dacard.ai helps product teams measure, understand, and improve their AI maturity. This guide walks you through setup, your first score, and where to go from there.

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Create your account

1

Sign up

Go to app.dacard.ai/sign-up and sign up with your work email (Google SSO or email/password).
2

Complete onboarding

Select your role and team size. Your role determines your default permissions within the organization.
3

Join your organization

Users with the same email domain are automatically grouped into the same organization. No invite required.

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Score your first product

Once signed in, you land on the DAC-score page. Enter any product URL and hit Score.
1

Crawl

Dacard.ai visits the URL and extracts observable signals from the product’s public-facing presence, documentation, and UX patterns.
2

Evaluate

Each of the 10 maturity dimensions is assessed against clear criteria (scored 1-4 each).
3

Generate

A maturity stage classification, dimension-level insights, and recommendations are produced.
4

Store

The result is saved with a shareable link at /r/{id}. Anyone with the link can view your Maturity report without signing in.
Scoring typically takes 15-30 seconds. For best results, score your main marketing or product page.

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Understanding your results

After scoring, you’ll see your Maturity Report with:
  • Overall score (10-40) and maturity stage (Legacy through AI-Native)
  • Dimension breakdown showing how you scored across all 10 dimensions
  • Signal bars (wifi-style 5-bar indicators) for at-a-glance health
  • Cluster analysis grouping dimensions into Foundation, Market Position, Execution Engine, and Outlier
  • Recommendations for improving each dimension

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Explore additional reports

From any scored product, navigate to:

Maturity

10-dimension AI maturity assessment with cluster analysis and stage classification.

Operations

How AI-native your team’s workflows are across 6 functions.

Lifecycle

Where you are in the 6-stage AI-native build process.

POM Overlay

Cagan/SVPG product operating model mapped to your scores.

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Talk to DAC

Every page includes DAC, your AI product operations copilot. DAC has deep knowledge of all three scoring frameworks, modern product management practices from leading thinkers, your specific scores, and prescriptive “Do This Next” actions based on your current stage. Click the Ask ✦ DAC button on any page to start a conversation.

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Next steps

How scoring works

Deep dive into the scoring methodology and what each dimension measures.

Using DAC

Get the most out of your AI coaching copilot.

Connect integrations

Pull real signals from GitHub, Linear, and more.

Plans & billing

Understand what’s included in each plan.