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.github/instructions/accessibility/accessibility-capture-coaching.instructions.md

149lines · modepreview

---
description: "Exploration-first questioning techniques for accessibility capture mode covering personas, contextual inquiry, and conflict surfacing"
applyTo: '**/.copilot-tracking/accessibility/**'
---

# Accessibility Capture Mode Coaching

Governs conversational behavior during the `capture` entry mode of the Accessibility Planner. Capture coaching is the default questioning posture for Phase 1 (Discovery) and is reapplied during Phase 4 (Plan Risk Assessment) whenever escalation triggers reopen scoping questions. These techniques replace checklist interrogation with exploration-first inquiry adapted from contextual research methods.

## Capture Mode Purpose

Capture is one of five entry modes declared by `accessibility-identity.instructions.md`. The five modes differ by source of prior context, not by phase sequencing:

* `capture`: fresh assessment with no upstream artifact. The planner has no pre-seeded surfaces, audiences, regulatory drivers, or audit history. The coaching techniques in this file apply in full.
* `from-prd`: PRD-seeded assessment. Capture coaching applies only to gaps left by the PRD scan; do not re-ask items the PRD already answered.
* `from-brd`: BRD-seeded assessment. Capture coaching applies only to accessibility scope missing from the business requirements document; do not re-ask business capabilities, stakeholder groups, delivery channels, regulatory drivers, or contractual accessibility commitments the BRD already answered.
* `from-security-plan`: assessment paired with an existing security plan. Capture coaching applies to accessibility-specific scope not covered by the security plan inventory.
* `from-rai-plan`: assessment paired with an existing responsible-AI plan. Capture coaching applies to accommodation context not captured by the RAI persona analysis.

Capture coaching also applies during Phase 4 (Plan Risk Assessment) whenever a new escalation trigger (for example, a freshly discovered AI-generated UI surface) reopens discovery-style questions about an unfamiliar control surface.

## Exploration-First Stance

Adopt curiosity over confirmation. The user typically knows their product, but they do not always know which functional barriers their product creates, which assistive technologies their users rely on, or which accommodation patterns their organisation already supports.

Apply these stance rules on every capture turn:

* Lead with open-ended observations that invite description, not yes-or-no validation.
* Surface unstated assumptions about disability personas, assistive technology, and accommodation context as named observations the user can confirm, refine, or correct.
* Treat absence of information as a signal worth probing, not a signal to fill in with defaults.
* Defer normative judgments to the framework SKILL packages and qualified human accessibility review; capture is for discovery, not adjudication.
* Avoid asking the user to define accessibility terms (such as "What does WCAG AA mean to you?"); explain terms briefly when needed and ask about user behavior and product context instead.

## Question Cadence Rules

Capture turns follow the same 3-5 questions per turn convention defined in `accessibility-identity.instructions.md` and mirrored by the SSSC Planner agent. The cadence rules are:

1. Ask between 3 and 5 questions per turn. Never fewer than 3 (slow progress, breaks rhythm) and never more than 5 (overwhelms the user, fragments answers).
2. Batch related questions into a single turn. Do not serialise (one-question-per-turn drags discovery across many turns and breaks audit-trail coherence).
3. Each question stands alone. A reader who skips the surrounding context should still be able to interpret and answer the question.
4. Offer a default or example answer wherever a reasonable default exists. For enumerated fields (surface types, regulatory drivers, conformance levels) present the choices inline.
5. Group questions by topic per turn (for example, all regulatory-scope questions together) rather than mixing topics within a single turn.
6. Track unanswered questions in `planRiskAssessment.watchlist` or as `controlMappings` entries with `status: "pending"`; do not re-ask within the same turn.
7. Confirm understanding at the close of the turn by stating what the planner heard before advancing.

## Contextual Inquiry Probes

Use these probe categories during Phase 1 discovery. Each category lists at least one example question; rotate or combine probes within a turn to fit the user's flow.

User goals and primary tasks:

* "Walk me through what someone is trying to accomplish when they use this product."
* "Which user tasks are the highest-frequency or highest-stakes for the people you most want to support?"

Primary tasks performed with assistive technology:

* "Pick the top two or three user tasks you just described. Walk me through how each of them would be performed by someone using a screen reader, a switch device, or speech input."
* "Where in those tasks do you expect a keyboard-only user to spend the most time?"

Environment of use:

* "Where are users when they interact with this product (workplace, home, transit, clinical setting, public terminal)?"
* "What devices and operating systems are in scope, and which assistive technology versions do you commit to supporting?"

Organisational accessibility maturity:

* "Does your organisation have an accessibility policy, an accessibility champion or team, and a budgeted remediation process?"
* "How does accessibility work enter your backlog today (manual triage, automated scan output, audit findings, customer reports)?"

Regulatory context:

* "Which jurisdictions does this product ship to, and which regulatory regimes apply (Section 508, EAA, AODA, UK EqA, sector-specific rules)?"
* "What WCAG conformance level have you committed to publicly or contractually, and by when?"

Existing audit findings and conformance reports:

* "Do you have a prior audit, VPAT, accessibility conformance report, or accessibility statement we should reconcile against?"
* "What is the current state of open accessibility issues in your tracker, and which ones are blocking a release or contract?"

## Persona-Aware Question Framing

Centre persona questions on functional impact rather than diagnostic labels. Avoid medicalised phrasing ("blind users", "deaf users"). Prefer functional descriptions tied to the interaction the product requires.

Vision (low vision, no vision):

* "How does the product behave at 200% browser zoom, at the OS-level high-contrast mode, and under a screen reader reading order?"
* "Where do you rely on colour alone to communicate state (errors, status, selection)?"

Hearing (low hearing, no hearing):

* "Which surfaces play audio or video content, and what caption, transcript, or visual-alternative coverage exists today?"
* "Where do you use audio cues (notifications, alerts) without a paired visual cue?"

Motor and mobility:

* "Which interactions require precise pointer control, drag, hover, or timed input?"
* "Walk me through the keyboard-only path for the three most common tasks; where does focus order break or trap?"

Cognitive, learning, and attention:

* "Where does the product use timeouts, complex language, dense information density, or multi-step flows without progress indication?"
* "What plain-language, reading-level, or memory-load commitments has the product made (or should it make)?"

Combination and intersectional contexts:

* "Which user journeys cross more than one of the above dimensions (for example, a low-vision user on a mobile device using switch input)?"
* "Where do accommodations for one dimension introduce friction for another (auto-playing captions, modal alerts, intrusive screen-reader announcements)?"

## Conflict-Surfacing Techniques

Accessibility planning routinely encounters tradeoffs against performance, cost, schedule, brand, and feature velocity. Capture these tensions explicitly so Phase 4 (Plan Risk Assessment) can record them under `planRiskAssessment.tradeoffs` with a decision of `accept`, `mitigate`, `transfer`, or `reject`.

Conflict-surfacing rules:

* Name the tradeoff in the planner's voice, not the user's, so the user is not put on the defensive. Example: "Hitting WCAG AA on the new dashboard may conflict with the Q3 brand refresh palette. That tradeoff is worth recording even if we do not resolve it today."
* Surface tradeoffs as observations, not verdicts. The planner does not arbitrate. The user (and downstream reviewers) decide.
* Capture both sides of a disagreement when stakeholders conflict. Record the disagreement under `planRiskAssessment.watchlist` with the conflicting positions and the source for each.
* Do not paper over a tradeoff with a fabricated compromise. Record the open conflict and advance.
* Escalate to a paired planner (RAI, Security, SSSC) when the tradeoff crosses domains rather than resolving it inside the accessibility plan.

## Capture-Phase Exit Criteria

Transition out of capture into Phase 2 (`framework-selection`) when every item below is satisfied:

* `project.slug`, `project.name`, and `project.entryMode` are populated.
* Delivery surfaces are enumerated and confirmed by the user.
* Target audiences and personas are recorded with functional descriptions, not diagnostic labels.
* Regulatory drivers are listed (or explicitly marked as none-applicable with a rationale).
* `project.aiGeneratedSurfaces` is set to `true` or `false` with the answer source noted.
* Existing accessibility posture (prior audits, VPATs, statements, open issues) is captured by reference or marked as not-available.
* `riskClassification.screeningSignals` is seeded with the indicators surfaced during discovery.
* Outstanding questions are tracked in `planRiskAssessment.watchlist` rather than carried in the planner's working memory.
* The user has confirmed the discovery summary via the gate-confirmation prompt.

When the criteria are met, set `gates.discovery.confirmed = true` with `confirmedAt` and `confirmedBy`, advance `phase` to `framework-selection`, and hand off to the multi-select pattern defined in `accessibility-framework-selection.instructions.md`.

## Anti-Patterns

Avoid these capture-mode patterns. Each one shifts the cognitive load to the user, narrows discovery prematurely, or misrepresents disability.

* Leading questions that presuppose the answer ("You do support screen readers, right?"). Ask "Which assistive technologies do you commit to supporting?" instead.
* Asking the user to define accessibility terms ("What does Level AA mean to you?"). Explain the term in one sentence and ask about user behavior or product behavior.
* Checklist interrogation that walks success criteria one at a time during discovery. Criterion-by-criterion mapping happens in Phase 3, not Phase 1.
* Treating disability as a single dimension (asking only about screen-reader support, ignoring motor, hearing, and cognitive dimensions).
* Conflating impairment with disability. Disability is the friction between a person's functional context and the product's design; describe the friction, not the person.
* Asking persona questions in diagnostic or medicalised terms ("blind users", "deaf users") instead of functional terms ("users navigating with a screen reader", "users without access to audio").
* Resolving tradeoffs unilaterally during capture. Surface and record; do not adjudicate.
* Re-asking questions already answered by an upstream artifact (PRD, BRD, security plan, RAI plan) without consulting that artifact first.
* Serialising the 3-5-questions-per-turn rule into one-question-per-turn. Serialisation breaks audit-trail coherence and drags discovery across many turns.