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πŸ’° 03 β€” Feature & ROI Analysis

Section Purpose: Research, prioritization, and financial analysis of features for the Flight Booking Platform β€” from initial exploration to ROI matrices and revenue acceleration strategies.

[!NOTE] Versioning: v2.0 is the current baseline for core planning documents in this section. Superseded v1.0 docs remain accessible as legacy references and are marked deprecated in-file.


Documents in This Section

# Document Description Read Time
1 feature-research-exploration.md v2 feature research aligned to Product Model v3.0 and PRD v3.0 ~15 min
2 prioritized-roi-matrix.md v2 prioritized ROI matrix using direct-booking transaction outcomes ~8 min
3 revenue-acceleration-addendum.md v2 revenue acceleration framework aligned to direct-booking economics ~15 min
4 ai-feature-documentation-flight-platform.md v2 AI capability strategy reinterpreted for direct-booking platform scope (AI remains later-by-default) ~8 min

Suggested Reading Order

flowchart LR
    A["1. Feature Research\n(What to Build)"] --> B["2. ROI Matrix\n(How to Prioritize)"]
    B --> C["3. Revenue Acceleration\n(How to Monetize)"]
  1. Start with feature-research-exploration.md β€” understand the full feature landscape
  2. Prioritize using prioritized-roi-matrix.md β€” apply weighted scoring methodology
  3. Maximize revenue via revenue-acceleration-addendum.md β€” monetization deep dive

Legacy (Still Accessible)


Key Insights Summary

[!IMPORTANT] Governing interpretation: Prioritization is anchored to owned transaction outcomes (search-to-booking, payment success, booking continuity, supportability, reconciliation, and governed commercial controls).

πŸ“‹ Detailed Insights

  • Feature Pillars: Search and discovery, comparison quality, checkout/payment integrity, booking lifecycle continuity, commercial controls, support operations, and reporting/auditability.
  • Prioritization Model: Weighted multi-factor scoring remains valid, but with v3 outcome weights and role-aware operations impact.
  • Revenue Acceleration: Framed around transaction-linked yield, conversion quality, support containment, and commercially governed promotion surfaces.
  • AI Positioning: AI is documented as a strategic later-by-default layer and must not be used to downgrade current-scope platform obligations.


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  • Document ID: FLYMAX-03-Analysis-README
  • Canonical Version: 1.0.0
  • Lifecycle: Active
  • Scope: Valid
  • Source of Truth: docs/
  • Related Change Ticket:
  • Last Reviewed On: 2026-03-09
  • Next Review Due: 2026-03-09

Approval Sign-off

Role Name Date Status
Product Owner Pending
Technical Lead / Solution Architect George Joseph Pending
Engineering Lead Pending
Commercial / Operations Pending

Document Lineage

  • Supersedes:
  • Superseded By:

Change Log

  • 1.0.0 (2026-03-09) - Header/footer standardized to FlyMax documentation playbook.
Last modified: Apr 2, 2026 by George Joseph (20b472c)