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Clinical Traceability Matrix

Every design decision mapped to communication functions, barriers addressed, and clinical evidence
Category Core Design
Framework Participation Model
Revised May 2026
01 How to Read This Document
For SLP Review

The clinical reasoning behind every design choice

This matrix maps Meadow’s design decisions to the Participation Model (Beukelman & Light, 2020) — the standard AAC assessment framework. It answers three questions for each feature:

1. What communication function does this enable?
2. What barrier does it address?
3. What evidence supports the approach?

Use this document as your sign-off checklist. For each row, verify that the design rationale aligns with clinical best practice. The “Deliverable” column links to the full design detail.

Participation Model

Opportunity

  • 📋 Practice
  • 📚 Knowledge
  • 💡 Skill

Access

  • Motor
  • 🧠 Cognitive
  • 💬 Linguistic
  • 👁️ Sensory

Status key

M1 Approved Included in Milestone 1. Designed and ready for implementation.
Future Vision Planned for future milestones. Not yet approved for implementation.
02 Communication Functions

How does Meadow support each major communication function? Each row maps a design feature to the pragmatic function it enables, the barrier it addresses, and where to find the full design.

🫳

Requesting

Asking for objects, actions, or assistance — the most frequent AAC function
Design Feature How It Supports Requesting Barrier Addressed Evidence Deliverable Status
Scene-based vocabulary Child taps objects in an illustrated kitchen/bathroom/bedroom. Words surface where the child needs them, in context. CognitiveLinguistic Light & Drager (2007): scene displays reduce cognitive demands for beginning communicators Vocabulary M1
Core word edges “Want,” “more,” “help” are always visible in compass frame edges. Never hidden in menus. MotorCognitive Consistent motor plan reduces selection time 30–40% (Light & Drager, 2007) Interaction Design M1
QuickChat combinations After tapping “milk,” child sees “want milk” / “more milk” as ready-made phrases. Scaffolds two-word requesting. LinguisticCognitive Mirrors caregiver expansion (child: “milk” → parent: “want milk?”) QuickChat M1
Sentence engine Grammar-aware predictions let child build “want cold milk please” — novel multi-word requests with word order scaffolding. Linguistic Supports 24–48mo language explosion (Bates & Goodman, 1997) Sentence Engine Future
🚫

Refusing & Rejecting

Saying no, stopping an activity, or indicating dislike
Design Feature How It Supports Refusing Barrier Addressed Evidence Deliverable Status
“No” and “all done” in bottom edge Always visible, same position every session. Child can refuse at any moment without navigating. Available from Tier 1. MotorCognitive Rejecting is among the earliest pragmatic functions (Wetherby & Prizant, 2002) Interaction Design M1
“Stop” as core verb Persistent in bottom edge. One tap, immediate speech output. No multi-step interaction required. Motor Core vocabulary research: stop/no among top 10 most functional words for AAC users Vocabulary M1
😢

Expressing Feelings

Communicating emotional states — immediate, not conversational
Design Feature How It Supports Emotional Expression Barrier Addressed Evidence Deliverable Status
Feelings tray (avatar) Tap avatar (bottom-left) → 13 emotions with clear face emoji. Tap one → word speaks immediately. No conversation loop. No follow-up questions. CognitiveMotor Emotional expression must be low-friction; upset children cannot manage multi-step interactions Me (Avatar) M1
“I love you” — always reachable Accessible from every screen, every context. Not buried in a category. Permanent and global. Cognitive Adam Wing directive (client requirement): “I love you mama” from Taylor testimonial Me (Avatar) M1
💬

Commenting & Describing

Labeling, describing, and sharing observations about the environment
Design Feature How It Supports Commenting Barrier Addressed Evidence Deliverable Status
Descriptor edge (top, blue) “Yummy,” “hot,” “cold,” “big,” “little” — available to modify any noun. Child can comment on qualities, not just request objects. Linguistic Descriptor + noun combinations emerge 18–24mo (ASHA milestones) Interaction Design M1
Scene hotspot labeling Tapping any object in the scene speaks its name. Not just requesting — also labeling (“spoon!” while pointing at a real spoon). Cognitive Scene displays support referential labeling (Drager et al., 2003) Vocabulary M1
Sentence engine — adjective + noun Grammar-aware suggestions allow “big banana” or “yummy pancakes” — descriptive comments, not just requests. Linguistic Modifier + noun is a key word-combination milestone Sentence Engine Future
👋

Social Routines & Greeting

Hi, bye, please, thank you, and conversational turn-taking
Design Feature How It Supports Social Functions Barrier Addressed Evidence Deliverable Status
Social words in bottom edge (purple) “Please,” “thank you,” “hi,” “bye” always visible. Supports social pragmatics without navigating away from current activity. CognitivePractice Social routines are among first pragmatic functions mastered (Bruner, 1983) Interaction Design M1
People edge (right, yellow) “Mama,” “dada,” “baby,” “me” — named people always accessible. Enables directed social speech (“hi mama,” “bye dada”). Linguistic Person + action combinations emerge early (Bates, 1976) Interaction Design M1
👉

Directing Others

Telling someone to do something — “mama help open juice”
Design Feature How It Supports Directing Barrier Addressed Evidence Deliverable Status
Person + verb combinations Child taps “mama” from right edge, “help” from bottom edge. Two-word directive at Tier 2. Linguistic Agent + action is a key semantic relation at MLU 1.5–2.0 QuickChat M1
Sentence engine — person + verb + object Grammar-aware predictions scaffold “mama help open juice” — agent + action + object + object. Linguistic Three-element combinations (MLU 2.5+) emerge 24–36mo Sentence Engine Future

Answering & Responding

Yes/no responses, answering questions, choosing between options
Design Feature How It Supports Answering Barrier Addressed Evidence Deliverable Status
“Yes” and “no” in bottom edge Always visible, always available. Parent asks “Do you want milk?” — child taps “yes.” No navigation required. MotorCognitive Yes/no comprehension typically established by 12–15mo Interaction Design M1
Scene vocabulary as choice board Parent holds up two items: “Banana or toast?” Child taps their choice in the scene. The scene functions as a visual choice board. Cognitive Choice-making is a foundational pragmatic skill (Reichle & Sigafoos, 1991) Vocabulary M1
03 Access Barriers Addressed

How Meadow addresses each access barrier

The Participation Model identifies four access barrier categories. Here’s how Meadow’s design systematically addresses each one, cutting across all communication functions.

Motor Access

Children in the target population may have limited fine motor control, imprecise reach, or emerging intentional movement.

  • 60pt minimum touch targets across all tiers
  • Motor plan stability — words never move between sessions or tiers
  • Switch Control support — full scan-group navigation
  • Single-tap speech — no drag, no long-press, no multi-step sequences to speak
  • Engagement timer fallback — companion cycle advances if no tap detected

Interaction Design §10 · Companion §10

M1
🧠
Cognitive Access

Pre-symbolic and emerging symbolic communicators cannot yet use abstract symbol systems. Cognitive load must be minimized.

  • Scene displays for Tier 1 — no symbolic abstraction required
  • Tiered complexity — 17 words at Tier 1, 36 at Tier 2, 49+ at Tier 3
  • Contextual vocabulary — words appear where they’re needed (kitchen shows food)
  • No hierarchical menus — flat navigation, one tap to any scene
  • Visual + auditory + gestural redundancy — three channels carry the same meaning

Developmental Foundations · Compass Frame Tiers

M1
💬
Linguistic Access

Children are at different stages of language development. The system must support single words through multi-word utterances without requiring linguistic competence the child hasn’t yet developed.

  • Tier-appropriate complexity — single words (T1), two-word combos (T2), sentences (T3)
  • Core word vocabulary — aligned with SLP-standard core word boards
  • QuickChat scaffolding — offers combinations the child can select, not construct
  • Grammar-aware sentence engine — handles word order so the child doesn’t have to
  • Fitzgerald Key color coding — visual grammar cues (nouns = orange, verbs = green, etc.)

QuickChat · Sentence Engine

M1 Sentence Engine: Future
👁️
Sensory / Perceptual Access

The target population is primarily language-delayed, not visually impaired — but robust multi-sensory design benefits all learners and supports co-occurring conditions.

  • Triple modality — every word is seen (picture), heard (speech), and signed (ASL)
  • VoiceOver support — every interactive element has an accessibility label
  • High contrast — Fitzgerald Key colors tested for contrast ratios
  • Parentese prosody — exaggerated vowels, slower tempo in companion voice
  • Dynamic Type — labels scale for low-vision co-users (parents, grandparents)

Companion §04 · Interaction Design §10

M1
04 Opportunity Barriers Addressed

Beyond the device — supporting the people around the child

Access barriers are about the device. Opportunity barriers are about the people, practices, and systems around the child. Meadow addresses these through design decisions that shape how the SLP, parent, and child interact with the app.

📋
Practice Barriers

The SLP and parent need consistent, structured ways to use the device in therapy and at home.

  • Companion engagement mode — structured, repeatable learning cycle (spotlight → present → wait → celebrate → advance) that SLPs and parents can activate identically
  • Routine-based scene organization — scenes match daily activities (mealtime, bath, bedtime), so the app maps to existing therapy and home routines
  • Time-aware routine glow — scene tiles suggest the right context at the right time of day
  • Parent gate — prevents accidental configuration changes during therapy

Companion · Onboarding

M1
📚
Knowledge Barriers

Parents may not know how to support AAC use at home. The app must model best practices through its own behavior.

  • Companion models language — parentese prosody, expectant pausing, and expansion are demonstrated by the companion so the parent sees what good modeling looks like
  • Sub-60-second onboarding — minimal setup burden means the parent doesn’t need to be trained before the child can start using the device
  • SLP-led configuration — tier, scenes, and voice are set by the SLP at deployment; parent doesn’t need to make clinical decisions

Companion §05 · Onboarding

M1
💡
Skill Barriers

The child needs to learn that the device is a communication tool — and that they have agency over it.

  • Cause-and-effect at Tier 1 — any tap produces a word. Builds the foundational insight that the device responds to the child’s actions
  • Guided discovery via companion — spotlight + present + wait cycle teaches word meanings through structured repetition
  • Triple modality — redundant channels mean the child can learn through whichever modality they attend to

Developmental Foundations · Companion

M1
⚖️
Policy & Compliance

Meadow must function as an E2510 speech generating device under funded-device regulations.

  • Communication-first identity — speech output is the primary function; teaching features are supplementary, not primary
  • No data collection — no analytics, telemetry, or off-device data flow in core communication path
  • Offline-first — no network dependency for any communication function
  • No third-party SDKs in communication path

Statement of Work

M1
05 Future Vision
🔮 The features below are planned for future milestones and have not been approved for implementation. They are included here for clinical visibility — to show where the product roadmap is headed and invite early SLP feedback on direction.
📝

Sentence Engine

Grammar-aware bubble predictions replacing static templates
Capability Clinical Rationale Barrier Addressed Evidence Deliverable Status
Grammar-aware predictions After “want,” engine suggests nouns. After “big,” suggests nouns. Scaffolds word order without requiring the child to know grammar rules. Linguistic Supports transition from formulaic to generative language (Bates & Goodman, 1997) Sentence Engine Future
Morphological modification Add -ing, -s, -ed to verbs. “Eat” becomes “eating.” Expands grammatical complexity without new vocabulary. Linguistic Brown’s Stages: morphological endings emerge Stage II–III (MLU 2.0–3.0) Sentence Engine Future
🔍

Word Explorer

Multiple visual representations of a word for generalization
Capability Clinical Rationale Barrier Addressed Evidence Deliverable Status
Multiple visual representations Tap “cup” and see 4 different cups (red, blue, sippy, travel). Builds generalization — “cup” isn’t just the one in the picture. Cognitive Generalization is a core AAC training goal; single-image symbols can create overly narrow referents Future
🎮

Gamified Sentence Builder

Drag-and-drop sentence construction as structured play
Capability Clinical Rationale Barrier Addressed Evidence Deliverable Status
Sentence construction as play Drag word tiles into sentence slots. Visual feedback for correct word order. Bridges communication tool and learning game for older children (4–5+). LinguisticKnowledge Structured play supports metalinguistic awareness in late preschool Future
🗣️

Speak With Me

Companion-led engagement sessions for structured vocabulary practice
Capability Clinical Rationale Barrier Addressed Evidence Deliverable Status
Extended engagement cycles Longer, more structured learning sessions with the companion. SLP-configurable word targets. Progress tracking across sessions. PracticeKnowledge Milieu Teaching with structured targets increases intentional communication (Yoder & Warren, 2002) Future
06 Coverage Summary

At a glance

7
Communication functions addressed
7
Barrier categories covered (4 access + 3 opportunity)
15+
Design features mapped to clinical evidence

How to use this for sign-off

For each communication function in Section 02, verify that the design features adequately support the child’s ability to perform that function at each tier. For each barrier category in Sections 03–04, verify that the accommodations match the needs of the target population. Follow the deliverable links for full design detail.

Items marked Future are included for directional feedback. They do not require sign-off at this stage but benefit from early clinical input on whether the approach is sound.