Your organization is currently
A 2–3 minute product leadership assessment
Can AI Trust Your
Product Signals?
Assess the product signals AI will amplify.
AI can summarize research, draft roadmap updates, analyze feedback, and support prioritization. But AI does not automatically create product clarity. It amplifies the quality of the signals already present.
Your individual answers stay in your browser. Anonymous progress and summary-result metrics help Mark understand whether the assessment is useful. A non-personal source label is recorded when one is included in the URL.
Your assessment
How ready are your signals?
Your result
Your AI Signal Readiness Results
What this usually looks like
Patterns you may recognize
- How priorities and decisions move through the organization.
- How teams use customer, outcome, and delivery signals.
- How context, trade-offs, and learning are shared.
Your responses
Review your individual scores
Your quadrant shows the pattern. Your individual scores show where to start.
Signal Quality 3 questions
Decision Capability 3 questions
The readiness matrix
Where your organization sits
AI Signal Readiness depends on both the quality of the signals and the organization’s ability to act on them.
- Signal Quality
- Signal Quality measures whether the organization’s inputs are clear, trusted, contextual, and ready to support a decision.
- Decision Capability
- Decision Capability measures whether the organization can interpret those signals, make trade-offs, assign accountability, and act on what it learns.
Discuss with your team
Turn the result into a better decision
- 01
Which part of this result deserves the most attention from your team?
- 02
What is one signal or decision practice you could strengthen first?
- 03
How will you know that the change improved decision quality?
Anonymous usage metrics record page views, assessment progress, summary scores, result quadrant, and a non-personal source label when supplied in the URL. They never include individual answers, names, emails, IP addresses, or user agents. If you share a reflection, only what you enter in that optional section, plus your quadrant, summary scores, and source label, is saved.