navidocs/CLOUD_SESSION_1_MARKET_RESEARCH.md
Danny Stocker 7787a57ff8 Update Sessions 1-2: pivot to recreational boats + sticky features
Critical market corrections:
- Target: Jeanneau Prestige 40-50ft (€250K-€480K), NOT mega yachts
- Riviera Plaisance: 150+ boats/year, 20,500+ customers
- Owner profile: weekend users (20-40 days/year), NOT crew-managed

New feature priority (sticky daily engagement):
1. Inventory tracking - prevent €15K-€50K forgotten value at resale
2. Camera/monitoring - 'is my boat OK?' peace of mind
3. Maintenance log - service reminders, expense tracking
4. Contact management - one-tap call to marina/mechanic
5. Expense tracking - annual spend visibility
6. Impeccable search - structured faceted results, NO long lists

Documentation features now secondary to daily engagement.

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2025-11-13 00:57:13 +01:00

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Cloud Session 1: Yacht Sales Market Intelligence

NaviDocs × Riviera Plaisance Opportunity Analysis

Session Type: Market Research Coordinator Lead Agent: Sonnet (strategic intelligence) Swarm Size: 10 Haiku agents Token Budget: $15 (7.5K Sonnet + 50K Haiku) Output: Market analysis + competitive landscape


Mission Statement

Gather comprehensive market intelligence for Riviera Plaisance Euro Voiles, focusing on recreational motor boat owners (Jeanneau Prestige 40-50ft, €250K-€480K range) and the daily boat management pain points that NaviDocs solves with sticky engagement features.


Context (Read First)

NaviDocs: Daily boat management app with sticky engagement (cameras, maintenance logs, inventory tracking) that happens to have perfect documentation when you need it.

Meeting: Riviera Plaisance yacht sales agent (Sylvain) - pitch NaviDocs as included service with every boat sale

Riviera Plaisance Euro Voiles Profile:

  • Location: Antibes, Golfe Juan, Beaulieu (French Riviera)
  • Brands: Jeanneau, Prestige Yachts, Fountaine Pajot, Monte Carlo Yachts
  • Volume: 150+ new boats/year, 20,500+ active customers
  • Boat Types: Recreational motor boats 40-50ft (€250K-€480K range)
  • Owner Profile: Weekend/holiday users (20-40 days/year), NOT crew-managed mega yachts

Current NaviDocs Status:

  • 65% complete MVP
  • Production-ready architecture (13 tables, 40+ APIs)
  • OCR pipeline functional (Tesseract + Google Vision)
  • Multi-tenant ready
  • Critical Gap: Lacks sticky daily-use features (cameras, maintenance, inventory, contacts)

Key Insights from Local Research:

  1. Inventory tracking pain: Owners forget €15K-€50K in upgrades when selling (tender, electronics, blinds)
  2. Passive docs don't work: Owners ignore documentation vault until emergency/sale
  3. Sticky features needed: Camera check, maintenance log, crew contacts, expense tracking
  4. Warranty tracking: Still valuable (€8K-€33K losses) but secondary to daily engagement
  5. Search UX critical: No long lists - structured, impeccable search results

Your Tasks (Spawn 10 Haiku Agents in Parallel)

Agent 1: Recreational Boat Market (Jeanneau Prestige Focus)

Research:

  • Jeanneau Prestige 40-50ft market (units sold annually, price range €250K-€480K)
  • Riviera Plaisance Euro Voiles volume (150+ boats/year validated)
  • Typical owner demographics (age, usage patterns, pain points)
  • Boat ownership costs (annual maintenance, storage, upgrades)

Deliverable: Market sizing report for recreational boat segment with citations

Agent 2: Competitor Analysis (Boat Management Apps)

Research:

  • Boat management apps (Savvy Navvy, Dockwa, Boat Buddy, BoatVault, DeckDocs)
  • Daily engagement features (cameras, maintenance logs, inventory tracking)
  • Pricing models (€5-€50/month for consumer apps)
  • Feature gaps: Do they solve "forgot €15K tender" problem?
  • Customer reviews: What makes boat apps sticky vs abandoned?

Deliverable: Competitive matrix showing NaviDocs differentiation (daily engagement + perfect docs)

Agent 3: Owner Pain Points (Daily Boat Management)

Research:

  • What frustrates recreational boat owners? (maintenance tracking, expense tracking, remote monitoring)
  • "Forgot to sell the tender" problem - how common is inventory loss at resale?
  • Camera/remote monitoring needs (is my boat OK while I'm away?)
  • Crew/service contact management (who do I call for cleaning/repairs?)
  • Accounting pain (how much am I spending on this boat annually?)

Deliverable: Owner pain point analysis ranked by frequency and financial impact

Agent 4: Inventory Tracking & Resale Value Protection

Research:

  • Boat equipment upgrade market (tenders, electronics, deck refinishing, automatic systems)
  • Average upgrade spend per boat per year (Jeanneau Prestige 40-50ft owners)
  • "Forgotten inventory" problem - how much value is lost at resale?
  • Receipt/invoice management for boats (tax deduction, warranty claims, resale documentation)
  • Comparable: RV/car inventory tracking solutions

Deliverable: ROI calculator for inventory tracking (€X forgotten value prevented)

Agent 5: Sticky Engagement Feature Research

Research:

  • Boat camera/monitoring systems (Siren Marine, GOST, Nautic Alert)
  • Maintenance reminder apps (what makes them sticky vs ignored?)
  • Expense tracking for recreational vehicles (boats, RVs, classic cars)
  • Contact management for boat services (marina, mechanics, cleaners, charter crew)
  • User engagement metrics: daily active users for boat apps

Deliverable: Feature prioritization - which sticky features drive daily/weekly engagement?

Agent 6: Search UX Best Practices (Critical for Inventory)

Research:

  • Search UX for inventory/asset management (how to avoid long lists?)
  • Structured search results (Pinterest, Amazon, Airbnb approaches)
  • Filtering/faceting for boat equipment (by zone, category, value, warranty status)
  • Mobile-first search (owners check from phone)
  • Voice search for boat management ("Show me tender warranty")

Deliverable: Search UX recommendations - impeccable structured results, zero long lists

Agent 7: Pricing Strategy Research (Broker-Included Model)

Research:

  • "Included with purchase" software models (Tesla app, luxury car apps)
  • Broker/dealer software bundling strategies
  • Freemium boat apps (free basic, paid premium features)
  • Monthly subscription tolerance (€5-€20/month for boat owners?)
  • Revenue share models (broker pays €X per boat sold, owner pays ongoing)

Deliverable: Pricing recommendation for "included with every Riviera boat" model

Agent 8: Home Assistant & Camera Integration Research

Research:

  • Home Assistant boat monitoring setups (camera feeds, bilge sensors, battery monitoring)
  • Marine camera systems compatible with HA (Hikvision, Reolink, marine-rated cameras)
  • Boat monitoring hardware (Victron, Siren Marine, GOST integrations)
  • Remote boat access use cases (security, maintenance alerts, peace of mind)
  • API integration patterns (webhook, MQTT, REST)

Deliverable: Technical feasibility report for Home Assistant/camera integration

Agent 9: Broker Sales Objection Research

Research:

  • Why brokers resist including software with boat sales (complexity, support burden)
  • Owner adoption challenges (will they actually use it after purchase?)
  • Sticky product examples (what makes owners keep using bundled software?)
  • Success stories: software included with high-ticket purchases (luxury cars, boats, RVs)
  • "I already use X" objections (existing boat management apps)

Deliverable: Objection handling playbook for Sylvain meeting

Agent 10: Evidence Synthesis

Research:

  • Compile all findings from Agents 1-9
  • Cross-reference data for consistency
  • Identify gaps requiring additional research
  • Flag unverified claims needing validation

Deliverable: Master evidence database with citations


IF.optimise Protocol

Token Efficiency Targets:

  • Use Haiku for all web research and data extraction
  • Use Sonnet only for final synthesis and strategic analysis
  • Target: 70% Haiku delegation (10% better than 14-day sprint)

Cost Tracking:

  • Report token consumption per agent
  • Alert if exceeding $15 budget
  • Switch to Haiku-only mode if approaching limit

Output Format

Deliverable 1: Market Analysis Report

File: session-1-market-analysis.md

Structure:

# Yacht Sales Market Intelligence Report
## Mediterranean Focus - Riviera Plaisance Opportunity

### Executive Summary
- Market size: [€X billion, Y thousand yachts sold annually]
- Riviera broker market: [Z brokerages, avg A boats/year]
- Opportunity: [€B revenue potential for NaviDocs]

### Market Sizing
[Agent 1 findings with citations]

### Competitive Landscape
[Agent 2 competitive matrix]

### Broker Pain Points
[Agent 3 pain point analysis]

### Value Proposition
[Agent 4 ROI calculator data]

### Regulatory Requirements
[Agent 5 compliance checklist]

### Charter Fleet Market
[Agent 6 charter feature needs]

### Pricing Strategy
[Agent 7 pricing recommendations]

### Integration Partnerships
[Agent 8 integration targets]

### Sales Enablement
[Agent 9 objection handling]

### Evidence Quality
[Agent 10 verification status]
- Total claims: X
- Verified claims: Y (Z%)
- Citations: [if://citation/uuid list]

Deliverable 2: Citations Database

File: session-1-citations.json

Format:

{
  "session_id": "if://conversation/navidocs-session-1-2025-11-13",
  "citations": [
    {
      "citation_id": "if://citation/market-size-mediterranean-yachts",
      "claim": "Mediterranean yacht sales market is €2.3B annually",
      "sources": [
        {
          "type": "web",
          "url": "https://example.com/yacht-market-report-2024",
          "accessed": "2025-11-13T10:00:00Z",
          "hash": "sha256:..."
        }
      ],
      "status": "verified",
      "created_by": "if://agent/session-1/haiku-1"
    }
  ]
}

Deliverable 3: Session Handoff

File: session-1-handoff.md

Structure:

# Session 1 Handoff to Session 2

## Mission Accomplished
- [x] Market analysis complete
- [x] Competitive landscape mapped
- [x] Pain points identified
- [x] Evidence database compiled

## Key Findings for Session 2
1. Market opportunity: €X million
2. Top 3 competitor gaps: [list]
3. Critical broker pain: [time spent on documentation]
4. Regulatory requirements: [jurisdictions covered]

## Blockers for Next Session
- [ ] Need technical specs for MLS integration (Agent 8 flagged)
- [ ] Pricing model requires cost analysis (Agent 7 flagged)

## Token Consumption
- Total: 52,450 tokens ($0.86)
- Sonnet: 7,200 tokens
- Haiku: 45,250 tokens
- Efficiency: 71% Haiku delegation ✅

## Evidence Quality
- Total claims: 47
- Verified: 42 (89%)
- Unverified: 5 (flagged for Session 5 Guardian review)

## Next Session Input
Read: session-1-market-analysis.md, session-1-citations.json
Focus: Technical integration architecture for broker CRM, MLS, Home Assistant

IF.TTT Compliance Checklist

  • All claims have ≥2 source citations
  • File hashes (SHA-256) for all web sources
  • Agent token consumption logged
  • Unverified claims flagged
  • Session handoff document created
  • GitHub commit with citation references

Success Criteria

Minimum Viable Output:

  • Market size quantified (€X billion, Y thousand yachts)
  • Top 5 competitors identified with pricing
  • 3-5 critical broker pain points documented
  • ROI calculator inputs compiled
  • Evidence quality >85% verified

Stretch Goals:

  • Integration partnership targets identified
  • Sales objection handling playbook complete
  • Charter fleet market analysis included

Start Command: Deploy this prompt to Claude Code Cloud with GitHub repo access End Condition: All deliverables committed to dannystocker/navidocs repo under intelligence/session-1/