A working model of the AI Adoption Maturity Profile: how survey answers become dimension scores, an overall tier, and a separate work × life outcome. Every question and option shown is drawn from the locked v3 instrument.
Teaching model. The calculator uses a simplified 12-question subset (two 5-point items per dimension) so the mechanics stay legible; the real index uses more items per dimension and a few aren't 5-point. Ladder scheme: the calculator reports four validated tiers; the rubric (View C) reproduces the partner's six named phases with the middle rungs left as she wrote them.
Front stage · what a respondent picks
Outcome questions · measured separately
Back stage · the scorecard lighting up
Outcome 2×2 — computed separately, not part of the score
Coverage — what feeds the score, and where each item lives
† Dual-tagged items feed a dimension and the outcome layer: P5.5, P7.4, P7.6, P8.6, P9.5. Listed under their dimension for scoring; treated as outcomes in the driver analysis. Inputs carry a teal edge; outcomes an amber edge.
The rubric — which answer maps to which phase
This is the scoring key (answer → level), not where items live. Drag the sweep to march every row across the phases in lockstep — a demo where everyone sits at one level, so the overall equals that level. Real respondents are uneven: the items you answer in View A place their own live marker here.
Most rows have only their two ends filled — the partner's illustrative wordings, reproduced as written. The blank cells are the middle rungs still to be defined if the six-phase scheme is kept. The calculator (View A) sidesteps this by banding the same 1–5 scale into four validated tiers instead.