Accelerated Innovation

Defining Clear “Definition of Ready” Measures for Your GenAI Solutions

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Defining Clear "Definition of Ready" Measures for Your GenAI Solutions

Description

This capability ensures that GenAI solutions meet clear, pre-defined readiness criteria before moving forward in the development lifecycle. It includes defining measurable “Definition of Ready” (DoR) requirements aligned to solution quality, evaluation completeness, and stakeholder expectations.

Why it's Important

Without clear DoR measures, GenAI teams risk advancing solutions that are unstable, untested, or misaligned with business goals. In traditional software, readiness gates are well-established, but in GenAI, evaluation-driven readiness is often ad hoc or overlooked. Defining DoR ensures that all solutions meet a consistent baseline before promotion-improving quality, reducing rework, and building trust. Strong DoR practices also support better planning, stakeholder confidence, and more predictable delivery cycles.

Why it's Challenging @ Scale

  • Lack of clarity on what “ready” means: Teams often have different assumptions about when a GenAI solution is ready for testing, deployment, or integration.
  • Inconsistent criteria across use cases: DoR standards may vary wildly across teams or solution types, leading to confusion and missed requirements.
  • Limited integration into workflows: Even when DoR exists, it may not be consistently applied as part of development and evaluation gates.
  • Too narrow or too broad measures: Some DoR checklists miss critical GenAI-specific readiness signals, while others become impractical to use.
  • Difficulty tracking and enforcing compliance: Teams may struggle to verify if all DoR requirements were satisfied before advancing solutions.

Complexity

High: Maturing this capability requires building tailored DoR templates, linking DoR enforcement to evaluation results, and embedding checkpoints into GenAI delivery processes across teams.

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Taking Action

Though most organizations begin their GenAI journey with significant knowledge gaps, there are targeted actions that can be taken to accelerate the process. Select your group’s current maturity, based on your assessment results, and act today.

  • Explore Key Concepts & Best Practices: Complete the Evaluation Driven Development for High-Impact GenAI Solutions workshop (2 hours) to understand foundational key concepts and explore applied best practices.
  • Framing the role of evaluation in GenAI development.
  • Understanding key EDD concepts and benefits.
  • Linking EDD to risk mitigation and solution quality.
  • Identifying where and when to use EDD.
  • Planning your EDD implementation strategy.
  • Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement GenAI strategy.
  • Align on your current state and define your target state.
  • Create an actionable enablement plan.
  • Define target timeline and measures of success.
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame.
  • Draft a DoR Checklist for a Single Use Case: Define minimum evaluation and quality requirements before the solution moves forward.
  • Test DoR Compliance in Retrospective Reviews: Look at recently launched GenAI use cases and assess whether they met a consistent readiness standard.
  • Run a DoR Pilot Review: Use your draft checklist with a live team to test usability and impact before scaling.
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • Selecting Your EDD Methodology.
  • Defining Your EDD Action Plan & DoR Measures.
  • Curating Your EDD Data.
  • Configuring Your EDD Solution.
  • Executing & Analyzing Your EDD Results.
  • Optimizing Iterating Your Results.
  • Leveraging EDD to Monitor & Govern Your GenAI Solution.
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale
  • Assess Your Proposed Solution or Process: Identify where readiness measures are unclear, skipped, or inconsistently applied.
  • Define in-scope Processes and Guardrails: Document which types of GenAI use cases require specific DoR criteria before progression.
  • Close any Data or Measurement Gaps: Ensure evaluation insights directly inform whether readiness conditions have been met.
  • Define Your Adoption & Scaling Plan: Create a structured roadmap for how GenAI solutions will be rolled out across teams, workflows, or business units
  • Define Your Phased Implementation Plan: Roll out DoR checklists by use case type, business unit, or maturity level.
  • Build Awareness and Finalize Enablers: Share definitions, templates, and examples to guide readiness alignment across teams.
  • Operationalize Your Comms Plan: Communicate clearly when and how DoR applies, and the implications of non-compliance.
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases
  • Publish DoR Templates by Use Case Type: Tailor readiness criteria based on solution category, risk level, or user exposure.
  • Integrate DoR into Governance Checkpoints: Require readiness verification in pre-launch and review processes.
  • Include DoR in QA and Evaluation Reviews: Ensure readiness is checked alongside evaluation results and solution quality.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Train Teams on What “Ready” Looks Like: Build shared understanding of readiness across product, engineering, and evaluation roles.
  • Embed DoR Prompts into Delivery Tools: Add automated checks or reminders in issue trackers and CI/CD workflows.
  • Use DoR Compliance as a Readiness Signal: Track and report how consistently teams are meeting readiness standards.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Spotlight Teams with High DoR Discipline: Share stories of how readiness gates improved outcomes.
  • Publish Before-and-After Readiness Comparisons: Show how clarity on DoR reduced rework or increased user trust.
  • Recognize Contributors to DoR Frameworks: Celebrate those helping build and refine organizational readiness practices.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine
  • Embed DoR Criteria in Development Pipelines: Make readiness checks an automated step before testing, review, or release.
  • Integrate Readiness Dashboards: Visualize DoR status across projects, teams, or product lines in real time.
  • Connect DoR with Broader Readiness Systems: Align GenAI DoR with enterprise QA, release, or governance frameworks.
  • Leverage Automation: Using GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Automatically Validate DoR Completion: Use structured data and evaluation logs to confirm readiness status.
  • Generate Readiness Reports from Evaluation Tools: Summarize key DoR criteria automatically from EDD results.
  • Auto-Flag Incomplete or At-Risk Readiness: Notify owners when DoR gaps are detected before promotion.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Update DoR Measures Based on Post-Launch Insights: Refine your criteria using real-world data and user impact.
  • Tailor Readiness by Solution Complexity: Adjust DoR expectations based on risk or business criticality.
  • Benchmark Readiness Alignment Across Teams: Track how different groups apply DoR and learn from high performers.

Key "Watchouts"

As you take action you’ll want to avoid:

  • Overcomplicating DoR requirements: Excessive detail can overwhelm teams or delay progress.
  • Applying one-size-fits-all checklists: Different GenAI use cases require different readiness criteria.
  • Skipping DoR during time crunches: Bypassing readiness gates under pressure creates long-term risk.
  • Treating DoR as a formality: Checklists are only useful when they reflect real standards and are used meaningfully.
  • Failing to evolve your measures: Readiness expectations must adapt as solution maturity, risk, and business needs change.

Targeted Benefits

While Defining Clear “Definition of Ready” Measures for Your GenAI Solutions can be challenging, its benefits are clear and compelling, including:

  • Greater launch confidence: Teams know solutions meet minimum quality and evaluation standards.
  • Improved delivery consistency: Readiness standards help normalize workflows across teams.
  • Fewer production issues: DoR catches gaps before they affect users.
  • Faster stakeholder alignment: Shared readiness expectations reduce confusion and miscommunication.
  • More scalable GenAI governance: Consistent readiness practices make oversight easier as adoption grows.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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