Product
Novelty, complexity, safety, architecture, quality attributes, physical/software coupling.
Tailoring is the deliberate adaptation of the development approach, governance, processes, methods, and artifacts to a project’s context. The goal is “just enough” discipline to deliver value and manage risk—not maximum or minimum process.
Novelty, complexity, safety, architecture, quality attributes, physical/software coupling.
Size, duration, budget, dependencies, uncertainty, delivery cadence, procurement.
Culture, governance, policies, process assets, distributed structure, maturity.
Regulation, market volatility, technology change, sustainability, geopolitical constraints.
Skills, team size, location, autonomy, stakeholder access, trust and experience.
Record consequential tailoring decisions, rationale, constraints, owner, and review point. This creates transparency and prevents “we have always done it this way” from becoming the process.
A simplified representation that explains behavior or relationships: situational leadership, communication models, motivation models, conflict models, complexity frameworks, change models.
A means for accomplishing work: estimating, workshops, interviews, retrospectives, earned value analysis, root-cause analysis, prioritization, testing, planning poker.
A template, document, deliverable, or visual: charter, backlog, roadmap, risk register, schedule, business case, requirements, burn chart, dashboard, lessons learned.
Model: Cynefin/complexity. Methods: prototypes and experiments. Artifacts: hypotheses, experiment results, ordered backlog.
Model: stage-gate. Methods: traceability and formal reviews. Artifacts: approvals, test evidence, requirements matrix.
Model: adaptive lifecycle. Methods: asynchronous refinement and virtual reviews. Artifacts: shared backlog, decision log, definition of done.
Does this activity or artifact improve a decision, reduce risk, enable delivery, or satisfy a real obligation?
Is the evidence detailed enough for its audience and consequence—without avoidable duplication?
Do roles, cadence, governance, lifecycle, methods, and tools reinforce one another?
How quickly does the approach expose incorrect assumptions, defects, and changing needs?
Can the team actually use it? A theoretically perfect process that people bypass is not effective.
Are mandatory policy, contractual, regulatory, safety, security, and audit needs demonstrably met?
Review at retrospectives, phase gates, releases, major risk events, team changes, and shifts in external conditions. Use outcomes—cycle time, defects, rework, value, risk exposure—not document count.
A prior project is evidence, not a universal recipe. Reassess its assumptions.
Combining fashionable practices without understanding interfaces creates friction.
“Agile” does not erase knowledge-transfer, compliance, architecture, or operating needs.
The initial approach is a hypothesis. Update it when results or context disagree.