AI Capability Questionnaire — v1

Full question scan · 50 questions across 7 sections (0–T3) · fixture: ai_capability_v1.yaml

Dimensions: AI Usage, Collaboration Quality, AI Knowledge — scored, feed the 0–100 overall score. Context, Enablement & Sentiment, Feature Familiarity, Time Allocation — not scored, reported separately / feed routing & ROI.
SectionAI mapping: whether this question corresponds to one in Section's own 25-question diagnostic assessment (adapttoai-academy/docs/reference/sectionai-demo/assessment-questions.md, transcribed 2026-09-10). yes = same question, same or near-identical wording/options. partial = related construct, wording/options differ meaningfully. no = no SectionAI equivalent — question is Academy-original.
Screen: which of the live questionnaire's 27 screens this question actually appears on — matches "N of 27" in the running assessment, not the 50-row question count above. The frontend (AssessmentRunner.vue) auto-groups 3+ consecutive single-select questions that share the exact same option-code set into one grid-table screen: 15 marks a question folded into a shared grid screen (S1 tool rows → screen 4, all 11 S3 feature rows → screen 15, all 11 S6 hour rows → screen 23); every other question gets its own screen. 8 marks a screen with just that one question.
S0 · context S1 · tools & enablement S2 · usage self-report S3 · feature table S4 · scenarios & knowledge S5 · confidence S6 · time allocation
S0

Who you are

3 questions · dimension: context
codequestionoptionsSectionAI mappingscreen
s0_name Your nameoptional · free text — free text — no 1
s0_function Which best describes your function?required · single-select
  • Finance
  • Commercial/Sales
  • Risk
  • Operations
  • Technology/IT
  • HR
  • Marketing
  • General Management
  • Other (free-text followup)
no 2
s0_email Email (optional, only needed if you'd like your own results sent to you)optional · free text — free text — no 3
S1

Tools & enablement

7 questions · dimension: enablement_sentiment
codequestionoptionsSectionAI mappingscreen
s1_tools_row01 ChatGPTrequired · single-select
Routing input, not scored. Rows 01–03 share the same 4-option set.
  • Free account
  • Paid personal plan
  • Company account
  • Don't use it
partial
SectionAI's #24 "Which LLMs are you currently using? (select all)" asks tool identity only, not account tier per tool. Different question shape — a checklist of tools vs. a per-tool access-tier grid.
41 of 4
s1_tools_row02 Geminirequired · single-select
  • Free account
  • Paid personal plan
  • Company account
  • Don't use it
partial
Same as row01 — SectionAI #24 covers tool identity, not tier.
41 of 4
s1_tools_row03 Clauderequired · single-select
  • Free account
  • Paid personal plan
  • Company account
  • Don't use it
partial
Same as row01 — SectionAI #24 covers tool identity, not tier.
41 of 4
s1_tools_row04 Other toolrequired · single-select
  • Free account (followup)
  • Paid personal plan (followup)
  • Company account (followup)
  • Don't use it
partial
Same as row01 — SectionAI #24 lists Perplexity, Copilot, DeepSeek, Grok, Llama, Mistral, Other as separate checklist items rather than one "other" bucket.
41 of 4
s1_access Do you know what AI tools are available to you at work and how to access them?required · single-select
  • No sanctioned tools exist that I know of
  • Tools exist but I don't know how to access them
  • Not sure
  • Tools exist with a clear way to access them
yes
SectionAI #21 "Do you know what AI tools are available and how to access them?" — identical wording, identical 4 options (No sanctioned tools / Tools exist, don't know how to access / Not sure / Tools exist with clear access process).
5
s1_satisfaction How satisfied are you with the AI tools available to you?required · single-select
  • I have no access
  • Dissatisfied
  • Somewhat satisfied
  • Very satisfied
yes
SectionAI #22 "How satisfied are you with available AI tools?" — identical wording, identical 4 options.
6
s1_sentiment Which best describes how you feel about AI at work right now?required · single-select
  • Anxious about what it means for my role
  • Overwhelmed by how much there is to learn
  • Excited about what it can do
yes
SectionAI #20 "How do you feel about AI?" — same 3 options (Anxious about implications / Overwhelmed / Excited), wording tightened.
7
S2

How you use AI today

7 questions · dimensions: ai_usage / collaboration_quality
codedimquestionoptionsSectionAI mappingscreen
s2_usage_frequency ai_usage How often do you use AI tools for work-related tasks?required · single-select
  • Never or rarely
  • A few times a month
  • Weekly
  • Several times a week
  • Daily
yes
SectionAI #1 — identical question and all 5 options, verbatim.
8
s2_task_variety ai_usage Which of these do you typically use AI for at work?required · multi-select, max 5 pts
  • Getting quick answers/looking things up
  • Editing or improving text I already wrote
  • Writing or debugging code
  • Creating first drafts from scratch
  • Analyzing data or documents
  • Brainstorming or testing ideas
  • Building reusable prompts or templates
  • I don't use AI for work
partial
SectionAI #2 — same 8 options plus one extra: "Vibe coding to prototype" (dropped here). Otherwise identical multi-select.
9
s2_sophistication ai_usage Which best describes how you typically work with AI tools?required · single-select
  • I don't use AI
  • I write a fresh prompt each time
  • I reuse phrasing or a rough template
  • I've built a custom tool (Gem, Custom GPT, Claude Project)
  • I've built an integrated AI workflow connected to other tools
partial
SectionAI #3 has 5 tiers too, but splits "reuse phrasing" (ours) into a distinct "maintain a reusable prompt library" tier, giving SectionAI's ladder one more rung of granularity at that point. Same top and bottom rungs.
10
s2_limits collab_quality When you delegate something to AI, do you tell it what it may decide on its own versus what has to come back to you?required · single-select
  • Never. I don't set any boundaries
  • Occasionally, for specific things
  • Usually, with some exceptions
  • Consistently. I set clear boundaries every time
no
No SectionAI equivalent — Academy-original, part of the new Collaboration Quality dimension SectionAI doesn't measure.
11
s2_checking collab_quality How often do you verify or fact-check AI-generated content before using or sharing it?required · single-select
  • Never
  • Rarely
  • Sometimes
  • Always
yes
SectionAI #10 — identical question and all 4 options, verbatim.
12
s2_context_upfront collab_quality When you start a task with AI, do you give it the background it needs up front, or does it usually take several messages to get there?required · single-select
  • I have to re-explain the same background almost every time
  • I give some context, but often add more as I go
  • I usually give a solid brief up front
  • I always give full context and relevant files/details at the start
no
No SectionAI equivalent — Academy-original.
13
s2_completion collab_quality Do you typically take AI's output through to a finished result, or stop at the draft and do the last mile yourself?required · single-select
  • I always finish it myself from the first draft
  • I sometimes let it iterate to a finished result
  • I usually let it go most of the way
  • I hand off through to a finished result and only review at the end
no
No SectionAI equivalent — Academy-original.
14
S3

Feature familiarity table

11 questions · dimension: feature_familiarity · not scored
codefeatureoptions (same 4 levels, every row)SectionAI mappingscreen
s3_row01Deep research
Claude: Research · ChatGPT: Deep Research · Gemini: Deep Research
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row02Projects / persistent workspaces
Claude: Projects · ChatGPT: Projects · Gemini: Gems + NotebookLM
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row03Custom instructions / system prompt
Claude: Project instructions · ChatGPT: Custom Instructions · Gemini: Gem instructions
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row04Reusable procedures ("skills")
Claude: Skills · ChatGPT: Custom GPTs · Gemini: Gems
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row05Visual & document generation
Claude: Design & Artifacts · ChatGPT: Canvas & images · Gemini: Canvas & images
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row06Connectors to your own data
Claude: Connectors (MCP) · ChatGPT: Connectors · Gemini: Workspace apps
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row07Plugins / marketplace add-ons
Claude: Plugins · ChatGPT: GPT Store · Gemini: Extensions
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row08Agent mode: delegate multi-step work on your own files
Claude: Cowork · ChatGPT: Agent mode · Gemini: Agent mode
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row09Browser agent
Claude: Claude in Chrome · ChatGPT: Atlas / Operator · Gemini: Gemini in Chrome
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row10Office-suite integration
Claude: Claude for Excel/PPT, M365 Copilot · ChatGPT: ChatGPT in Word · Gemini: Gemini in Docs/Sheets/Gmail
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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s3_row11Coding agent in the terminal
Claude: Claude Code · ChatGPT: Codex · Gemini: Gemini CLI
  • Never heard of it
  • Heard of it, never used
  • Used once or twice
  • Use regularly
no
No SectionAI equivalent — SectionAI has no feature-familiarity table.
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S4

Scenarios & knowledge

6 questions · dimensions: ai_knowledge / ai_usage / collaboration_quality
codedimquestionoptionsSectionAI mappingscreen
s4_k1 ai_knowledge Which of these tasks would current AI tools (ChatGPT, Copilot, Gemini, Claude) handle most effectively today?required · single-select
  • Predicting stock market performance
  • Reporting real-time breaking news
  • Creating a complete, visually finished slide deck from scratch
  • Reviewing a set of slides for inconsistent formatting and messaging
yes
SectionAI #7 — same 4 options, reordered ("Analyzing slides for visual+content consistency" = our "Reviewing a set of slides..."; correct answer is the same option in both).
16
s4_k2 ai_knowledge You need AI's help with something involving a client's credit file. Which of these actually protects the client's sensitive information?required · multi-select, max 4 pts
  • Avoiding AI for this kind of work entirely
  • Checking the tool uses secure/encrypted connections
  • Only sharing what I'd be comfortable sharing with a colleague who didn't need the client's name
  • Removing or masking identifying details before sharing
  • Using our company's approved/enterprise tool instead of a personal account
yes
SectionAI #9 "How can you best protect sensitive information..." — same 5 options, wording tightened and scenario-framed (credit file) rather than generic.
17
s4_k3 ai_knowledge When you need to make sure AI-generated content is actually correct before you rely on it, which of these genuinely help?required · multi-select, max 3 pts
  • Confident-sounding language or specific details as a sign it's correct
  • Professional formatting/grammar as a sign it's correct
  • Asking a different AI tool to check it
  • Cross-referencing outside sources
  • Independently verifying any calculations myself
  • Asking the same AI to double-check itself
yes
SectionAI #11 — identical 6 options, verbatim.
18
s4_k4 ai_usage You need to put together a monthly performance summary from several data sources. How would you use AI for this?required · single-select
  • I wouldn't use AI for this
  • I'd analyze the data myself, then ask AI to write up the summary
  • I'd use AI to help analyze each source, then compile the final summary myself
  • I'd set up a process where AI handles the analysis and the write-up consistently, every month
yes
SectionAI #4 — identical scenario and all 4 options, wording tightened.
19
s4_k5 collab_quality AI gives you a solid-looking first draft of a memo for the board. What do you do next?required · single-select
  • Send it essentially as-is, it reads well
  • Tighten the wording, then send it
  • Check the specific numbers and claims against my own sources before sending
  • Go back to AI with more context about the board's actual concerns and ask for a sharper version, then check the result
no
No SectionAI equivalent — Academy-original, part of the new Collaboration Quality dimension.
20
s4_k6 ai_knowledge Which of these four setups would still stop working the day the person who built it went on vacation?required · single-select
  • A person pastes their weekly numbers into AI and asks it to write the summary each time
  • A person has AI watch their inbox and draft replies, which they review before sending
  • A saved process that reads a shared folder, updates a report, and notifies the team automatically
  • A person asks a colleague to write the summary for them that one week
no
No SectionAI equivalent — Academy-original.
21
S5

Self-rated confidence

1 question · dimension: context
codequestionoptionsSectionAI mappingscreen
s5_confidence How would you rate your own AI skills, compared to your peers in a similar role?required · single-select
  • Below average
  • About average
  • Somewhat above average
  • Well above average
  • Among the most skilled people I know
no
No SectionAI equivalent. SectionAI's closest item, #23 "How well do you understand AI's potential benefits for your specific role?", is a different construct — clarity of understood benefits, not self-rated skill vs. peers.
22
S6

Where your time goes

15 questions (12 rows + T1–T3) · dimension: time_allocation · not scored, feeds ROI + routing
codequestionoptionsSectionAI mappingscreen
s6_row01Drafting or editing written content (emails, reports, proposals)required · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent — SectionAI has no time-allocation section.
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s6_row02Entering, reconciling, or reformatting data across tools/spreadsheetsrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row03Searching for, reading, or summarizing documents, emails, or meetingsrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row04Building recurring reports or dashboards by handrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row05Reading something, making a judgment call, and typing the answer somewhere, over and over (triage, approvals, classification)required · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row06Scheduling, status updates, or repetitive internal coordinationrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row07Preparing presentations or decksrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row08Answering the same questions from colleagues, clients, or vendorsrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row09Analysis or modeling in spreadsheetsrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row10Reviewing or checking other people's work for errorsrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row11Tasks that only you know how to do, the ones that would stall if you were outrequired · single-select
  • 0 hrs
  • 1–2 hrs
  • 3–5 hrs
  • 6–10 hrs
  • 10+ hrs
no
No SectionAI equivalent.
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s6_row12Other (please describe)optional · free text— free text —no24
s6_t1Roughly how many people on your team do similar work to what you just described?required · single-select
  • Just me
  • 2–5 people
  • 6–20 people
  • More than 20 people
no
No SectionAI equivalent.
25
s6_t2For the row where you spend the most time, what would actually help most?required · single-select
  • Answer me faster when I ask, in chat
  • Take the whole task off my plate, I just check the result
  • Run on its own, and let other people on my team use it too
no
No SectionAI equivalent.
26
s6_t3If you could hand off just one thing from your week, what would it be?optional · free text— free text —no27
Summary: of 50 Academy questions, 9 map yes to a SectionAI question (near-identical wording/options), 6 map partial (related construct, meaningfully different wording/options), and 35 are no — Academy-original, with no SectionAI counterpart. Within Collaboration Quality, only s2_checking (fact-checking) has a SectionAI match — its other 5 questions (boundary-setting, context-upfront, completion, board-memo scenario) are Academy-original. The entire S3 feature-familiarity table (11 questions) and S6 time-allocation section (15 questions) are also Academy-original additions SectionAI's instrument does not cover. On screen count: the 50 questions compress to 27 screens because 3 grid batches (S1 tool rows, all 11 S3 rows, all 11 S6 hour rows) each collapse onto a single screen — confirmed against the live "N of 27" progress indicator.