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Product Development Lifecycle - Coggle Diagram
Product Development Lifecycle
Discovery
Scenario Planning (optional)
Use when facing high market or regulatory uncertainty (e.g. carrier pricing shifts, new regulation). Tests whether the strategy holds across 2-4 plausible futures — a resilience check, not a per-feature tool.
Lean Canvas (optional pre-step)
0-to-1 / new product initiatives — frame the business model hypothesis (problem, solution, channels, revenue) before deep validation. Best for new bets, less common when adding to an existing product.
Cagan's Four Risks
Value, usability, feasibility, viability — core risk framework for any discovery effort.
Jobs-to-be-Done (JTBD)
Understand the underlying job the customer is 'hiring' the product to do.
Opportunity Solution Tree (Teresa Torres)
Map outcomes → opportunities → solutions → experiments.
Assumption Mapping / Assumption-Risk Matrix
Surface and prioritize riskiest assumptions before building.
Customer Interviews / Empathy Mapping
Direct qualitative validation of problem and needs.
Design Thinking (Empathize–Define–Ideate)
Broader ideation framework feeding into solution options.
Development
Agile / Scrum, Kanban
Iterative delivery methodology.
INVEST Criteria
Quality bar for well-formed user stories.
Independent: The user story should be self-contained so that the team can prioritize and develop it without heavy reliance on other stories.
Negotiable: The story is a conversation starter rather than a rigid contract, leaving room for collaboration and refinement.
Valuable: It must deliver a clear, tangible benefit to the end-user or the business.
Estimable: It contains enough detail for the development team to accurately gauge the required effort and time.
Small: The work is broken down into manageable chunks that can be realistically completed within a single sprint.
Testable: It includes clear acceptance criteria so the team knows exactly what needs to be verified to consider the story 'done'. [1, 2, 3, 4]
Definition of Ready / Definition of Done
Entry and exit criteria for work items.
Story Pointing (Fibonacci, T-shirt sizing)
Relative effort estimation.
Design
Design Sprints (GV 5-day sprint)
Rapid problem-to-prototype cycle.
Wireframing / Prototyping
Low-to-high fidelity design iteration.
Nielsen's 10 Usability Heuristics
Evaluate design against established usability principles.
User Story Mapping (Jeff Patton)
Visualize the user journey to sequence backlog work.
Defination
PRD (Product Requirements Document)
Formal scope, requirements, and success criteria.
RICE (Reach, Impact, Confidence, Effort)
Prioritization scoring for competing initiatives.
MoSCoW
Must / Should / Could / Won't — scope negotiation.
Kano Model
Map features to satisfaction (basic, performance, delighter).
North Star Metric / HEART (Google)
Define the primary success metric and supporting UX metrics.
OKRs
Align product goals to measurable key results.
Testing / QA
Test Case Matrices, Regression Testing
Systematic coverage of functionality.
A/B / Multivariate Testing
Compare variants against target metrics.
Bug Triage (Severity x Priority)
Structured defect prioritization.
Growth / Iteration
AARRR Framework
Funnel Analysis / Conversion Diagnostics
Cohort Analysis
Continuous Discovery Habits (Torres)
Launch
Go-to-Market (GTM) Framework
Coordinate positioning, channels, and launch plan.
Rollout Strategies (canary, phased, feature flags)
De-risk release through controlled exposure.
Launch Readiness Checklist
Cross-functional sign-off before release.
Pirate Metrics (AARRR)
Early tracking of acquisition through revenue.
Sunset
Cost-Benefit / Opportunity Cost Analysis
Deprecation Communication Frameworks
Migration / Off-boarding Planning
Maturity
Porter's Five Forces
Assess competitive positioning and industry dynamics.
SWOT Analysis
Structured internal/external assessment.
Scenario Planning (strategic)
Longer-range: test if strategy holds under 2-4 future market states.
TAM/SAM/SOM Re-evaluation
Reassess market sizing for expansion opportunities.