Your role helps us contextualise your results and compare them accurately to peers.
Your name
Used to identify your submission in the multi-respondent analysis.
Your team type
Select the option that best describes your role.
Please select your team type.
Current AI adoption phase
Which phase best describes where your organisation is today?
Please select your current phase.
AI Readiness Assessment
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Use Skip if you genuinely don't know — skipped questions are excluded from scoring.
Assessment Results
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Your Results
Across all eight dimensions of AI readiness
AI readiness score
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Collective benchmark
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Session average
Respondents
1
in this session
Readiness profile
Your resultsCollective average
Dimension scores
Team insights
Patterns detected across respondents.
Respondents
Name
Team
Score
Band
AI commentary
Dimension-by-dimension insight from your responses.
Admin Dashboard
0
Respondents
0
Completed
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AI readiness score
All respondents
Aggregate (bold), upper range (green), lower range (blue)
By team type
Average score per function
Gap analysis
Complete assessments from multiple team types to unlock.
No respondents yet.
Individual scores
Each respondent's answers by dimension. Expand to see individual question responses.
No respondents yet.
AI analysis
Claude analyses all respondent data together and surfaces inferences about alignment, gaps and priorities across Marketing Leadership, Adjacent Functions and the Marketing Team.
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Ready to analyse
Click Run analysis to generate AI-powered insights across all respondents.
0s elapsed
Raw data export
Download structured JSON of all respondent data for use in external tools.
Allowed email domains & addresses
Add @domain.com or email@address.com
Excluded from results
Add email addresses to exclude from all analysis and reporting. Useful for test submissions, admin accounts, or internal team members.
Collective benchmark scores
What is this? The benchmark scores are the collective average used as the second comparison line on the spider chart before enough real session data exists.
Once you have data from multiple clients, update these values to reflect the true cross-client average — this makes the spider chart more meaningful for individual respondents.
These are hidden here to avoid accidental editing during live sessions.
Expand a dimension to edit questions, answers and scores.