Session:
Panel (23 Voices)
JC
Jaylen Carter
SR
Sofia Reyes
MW
Marcus Webb
PN
Priya Naidu
DP
DeShawn Phillips
HL
Hannah Lindqvist
+ 17 more personas
Fixtures
KY
Kenji Yamamura
A7
ARIA-7
RA
Ruth Alemayehu
Focus Group Session Overview
FG4 — Memory Types
25
Features
23
Personas
295
Interviews
8
Phases
Session Description
This focus group session evaluated 25 features across the behavioral memory taxonomy. The session included comprehensive persona interactions, competitive landscape analysis, and multi-gate validation through security, commercial, and technical debt assessments.
Key Outcomes
- ✅ 7 features approved for MVP release
- ⚡ 18 features prioritized for V1
- ⚠️ 5 high-priority PDR items logged
- 🎯 Competitive differentiation validated
Phase Completion
✓ P0 Intake✓ P1 Intro✓ P2 Features✓ P3 Interviews✓ P4 Scoring✓ P5 Gate 1✓ P6 Gates✓ P7 WSJF
F1My Shopping MemoryMVP
HL
Hannah Lindqvist
"The problem is not that they watch — it is that they watch and pretend they don't." Frames it as surveillance without a warrant.
Q1 — Problem
RA
Ruth Alemayehu (Wise Customer)
"This is the feature that proves the platform means it when it says 'transparency is the product.' If this feels like a settings page nobody visits, it fails."
Q3 — MLV · Ruth Check
F2Privacy Dial ScreenMVP
DP
DeShawn Phillips
"I need to see what they're doing before I trust it. Show me the receipts."
Q2 — Trust
23 more features · Select from timeline or filter
Persona Roster (Markdown)
Detailed descriptions of all 23 consumer personas including demographics, archetypes, AI stance, and behavioral patterns.
Persona Roster (JSON)
Structured data export for persona integration with simulation and scoring engines.
Phase 1 — Consumer Intro
Phase 2 — Features Presentation
Phase 3 — Interviews (5 batches)
Phase 4 — Scoring & Synthesis
Phase 5 — Gate 1 (MLV/MLF)
Phase 6 — Multi-Gate Review
Phase 7 — WSJF Prioritization
Phase 8 — Retest
PDR Log (Markdown)
Problem / Decision / Risk register tracking critical issues, architectural decisions, and risk mitigation strategies.
Competitive Landscape Analysis
Detailed competitive positioning analysis comparing features against Amazon, Meta, Google, and emerging players.
Level of Effort Assumptions
Implementation effort estimates and complexity assumptions for each feature.
All Session Files
Session Files (42 total)
+ View in file system for full directory access
Session Overview
25
Features
295
Interviews
7
MVP
5
PDR Items
Key Tensions
- HIGHPrivacy as surveillance vs. intelligence
- HIGHRevenue impact of anti-regret features
- MED12 consent toggles — UX vs. granularity
- MEDCold-start: bidirectional loop chicken-egg
PDR Log (Top Items)
PDR-002 · RISK · W4
Amazon COSMO productization threat — differentiation narrows to behavioral enrichment
PDR-003 · RISK · W3
12 memory consent toggles create UX complexity conflicting with "simple by default"
PDR-004 · RISK · W3
Bidirectional p1/p2 loop has chicken-and-egg cold-start problem
AI Stance Distribution
ForwardPragmaticCautiousResistant
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