Echoes of Alice is an active-hardening immersive narrative simulation for domestic violence education. It combines a hybrid branching narrative architecture, trauma-informed UX patterns, in-memory session flow, evidence-backed analytical debrief, professional persona lenses, counterfactual projections, Quick Exit, Panic Mode, crisis detection, and AI-assisted voice, routing, and debrief workflows.
Immersive domestic violence education simulation with hybrid branching and analytical debrief
Public-safe product visual. No sensitive data shown. For GrantWise, position this as a compliance/requirements/drafting workflow diagram, not a verified live production screenshot.Public-safe preview
Asset type
Hybrid branching DV education simulation
Active-hardening simulation with consequence-driven branching, trauma-informed UX, AI-assisted voice and debrief, historical state reconstruction, and research-backed analytical review.
Demo posture
Private walkthrough available by
Private walkthrough available by request. Buyer-facing claims should be verified with current build, test, accessibility, model-availability, key-handling, and data-flow review before external diligence.
Best fit
EdTech platforms, DV coalitions, clinical and social work education programs, healthcare training teams, first responder training providers, and simulation-learning buyers.
Domestic violence educators, Advocate training programs
Buyer paths
Pilot • Source License • Acquisition • Custom Scenario Development
Trust signals
Public-safe indicators buyers can use before requesting deeper materials.
Modern single-page simulation architectureHybrid branching engineIn-memory simulation stateHistorical state reconstructionEvidence-backed debrief layer
Product thesis
Why this asset exists
Domestic violence education often relies on static modules, short scenarios, or role-play that cannot safely show how coercive control builds over time. Echoes of Alice was built to help trainees experience the pressure, confusion, isolation, and constrained choices of coercive control in a structured simulation, then move into analysis through research-backed debrief and professional lenses.
01
Buyer need
Most branching training simulations either create the illusion of choice by quickly reconverging or become too large to maintain. Domestic violence education adds another challenge: the experience must teach coercive control without blaming survivors, overstating safety, or creating unmanaged emotional distress. Buyers need a simulation architecture that can preserve agency, teach patterns, and stay maintainable.
Branching simulations often either reconverge too quickly or become too large to maintain
Domestic violence education needs to show coercive control patterns without blaming survivors
Trainees need structured debrief, not just immersive experience
Institutions need adaptable simulation content that can be reviewed, extended, and transferred
AI-assisted simulations require careful data-flow, model, accessibility, and safety validation
02
Product response
Echoes of Alice uses a hybrid branching narrative model with consequence-driven state, state snapshots, historical reconstruction, and analytical debrief. Users make choices that affect resilience, financial capital, partner control, isolation, social network strength, and narrative flags. The debrief reconstructs the trajectory through evidence-backed analysis, professional persona lenses, divergence charts, social ecosystem visualization, and counterfactual ghost trajectories.
Uses consequence-driven branching and reconvergence to preserve agency while managing complexity
Stores narrative content in editable JSON with benchmarks and tactic tags
Captures state snapshots for historical debrief reconstruction
Shows divergence from safety benchmarks and social support drift through analytical visualizations
Uses professional persona lenses to shift between counseling and investigative learning frames
Includes Quick Exit, Panic Mode, crisis detection, and grounding paths
Keeps backend and auth work as a future boundary while the standard flow remains local-first
Capabilities
What buyers evaluate first
These are the product behaviors, workflows, and evidence points a buyer can scan before requesting deeper materials.
Hybrid branching narrative engine with consequence-driven state and reconvergence
Single-page simulation flow
Structured state management for game state, session history, UI state, and replay context
Narrative data model stored in structured content files for updates without full code rewrites
Choice consequences across resilience, financial capital, partner control, isolation, and social network strength
Historical state reconstruction using choice snapshots and stat trajectories
Analytical Command Center debrief with divergence analysis and social ecosystem visualization
Professional persona lenses for Trauma-Informed Counselor and Forensic Investigator review
Evidence-backed debrief grounded in a structured research-insights layer
Counterfactual ghost trajectories for unchosen paths
Context Drawer HUD for real-time educational context
Kinetic SVG visualization of social isolation and support drift
Quick Exit, Panic Mode, grounding path, and crisis detection
Reduced motion, high contrast, and screen-reader design standards documented
AI-assisted voice, intent routing, and analytical debrief workflows
Dormant boundary spike for future auth/data architecture exploration
Interface previews
Public-safe product visuals
Previews use demo, redacted, or representative content so buyers can inspect the interface without exposing sensitive data.
Product diagram
Product diagram1 of 1
Product diagram
Public-safe product visual. No sensitive data shown. For GrantWise, position this as a compliance/requirements/drafting workflow diagram, not a verified live production screenshot.
Use cases
Where this asset fits
Domestic violence education
Training programs use the simulation to help learners understand coercive control, isolation, and constrained choice through guided experience and debrief.
Social work and counseling coursework
Educators assign the simulation as a case-based learning module followed by discussion of tactic recognition and safety-centered response.
Healthcare training
Healthcare teams use the simulation to strengthen recognition of coercive control dynamics and improve response to patient disclosures.
First responder reflection
Training programs use the debrief and persona lenses to explore how different professional roles interpret the same relationship dynamics.
Custom scenario development
A buyer adapts the narrative engine, benchmarks, and debrief framework to new professional audiences or institutional training contexts.
Review package
What transfers, what stays gated, and what needs verification.
The public brief gives buyers a safe first pass. Deeper implementation and operational materials stay controlled by fit review.
Documentation
Public overview available. Detailed documentation is gated for controlled review.
Review by request
Testing / QA
QA evidence is available in controlled review and should be freshly verified before buyer reliance.
Controlled review
Transfer boundary
Transfer scope is reviewed privately during app-specific diligence.
Controlled review
Included assets
Application source code — Implemented
Hybrid branching narrative engine — Implemented
Structured state architecture — Implemented
Narrative data and content-editing schema — Implemented
Choice consequence and benchmark system — Implemented
Analytical Command Center debrief — Implemented
Professional persona lenses — Implemented
Counterfactual ghost trajectories — Implemented
Research-backed debrief layer — Implemented
Quick Exit, Panic Mode, grounding, and crisis detection — Implemented
AI voice/routing/debrief service layer — Implemented; key handling and provider terms must be reviewed
Auth/data boundary spike — Dormant spike; not production-ready
Automated test assets — Present; current pass status must be verified
Architecture, AI safety, narrative, UX, and service docs — Present
License or sale terms — By inquiry
Commercial paths
licensingacquisitioncustomizationpilotpartnership
Controlled Pilot
Limited institutional pilot after current build, test, E2E, accessibility, Gemini data-flow, and content validation checks.
Source-Code License
License the application, hybrid branching engine, narrative data model, debrief components, AI service layer, and documentation for buyer-operated deployment.
Custom Scenario Development
Adapt the narrative engine, tactic mappings, benchmarks, and debrief framework for a specific professional training audience.
Full Acquisition
Acquire source code, narrative engine, educational content framework, research-backed debrief pattern, UX standards, test assets, and transition support under negotiated terms.
Evidence and review posture
Public evidence boundary
This section shows only public-safe evidence language. Deeper technical, security, billing, operational, transfer, and implementation materials stay gated.
Public overview
Available
Public pages provide buyer-centered positioning, fit, use cases, and a controlled next step without implementation details.
Private walkthrough
By request
A private walkthrough can be requested for qualified review. No public demo access is implied.
QA evidence
Controlled review
QA evidence is available in controlled review and should be freshly verified before buyer reliance.
Gated materials
Not public
Technical, security, billing, operational, transfer, and implementation materials are gated and are not included in the public portfolio payload.
What is public versus controlled review
Public pages are designed for discovery: product overview, use case, high-level features, category, and public-safe readiness summary. Deeper technical, security, billing, operational, transfer, and implementation materials are shared selectively after review.
Roadmap labels distinguish completed work from active hardening or planned next steps.
Hybrid branching engine and narrative coredone
Trauma-informed UX patternsdone
Quick Exit, Panic Mode, grounding, and crisis detectiondone
Analytical debrief and divergence enginedone
Professional persona lensesdone
Counterfactual ghost trajectoriesdone
Research-backed analysis layerdone
AI-assisted voice, routing, and debrief flowsdone
Current test, E2E, bundle, and asset verification runin-progress
Client-side AI key risk reviewin-progress
Backend auth and data-layer implementationplanned
Multi-user or institutional analytics layerplanned
SCORM/LTI or LMS exportplanned
Formal accessibility auditplanned
External SME/content validation packageplanned
Additional scenario authoring workflowsplanned
FAQ
Common diligence questions
Controlled next step
Interested in adapting Echoes of Alice for your organization or portfolio?
Start with a fit conversation. Public summaries stay safe to browse; technical, security, and transfer materials are shared only when the review path is appropriate.
