Accelerated Innovation

Prioritizing EDD-Related Tuning Needs

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Prioritizing EDD-Related Tuning Needs

Description

This capability focuses on identifying and sequencing the most impactful changes to make during Evaluation-Driven Development (EDD). It includes using evaluation insights to prioritize which prompts, models, data sources, or system components to tune first, based on risk, value, and feasibility.

Why it's Important

In any GenAI solution, not all tuning efforts are created equal. Some changes yield big improvements, while others are costly distractions. Without clear prioritization, teams may focus on the wrong issues, waste time, or over-optimize for low-impact scenarios. EDD provides the signals needed to guide those decisions. By using structured evaluation data to direct tuning efforts, organizations can maximize quality, minimize waste, and move from experimentation to impact faster.

Why it's Challenging @ Scale

  • Too many potential changes to consider: Teams often face dozens of possible tuning levers without guidance on which matter most.
  • Conflicting stakeholder opinions: Product, engineering, and compliance teams may push for different tuning priorities.
  • No link between issues and impact: Without structured evaluation data, teams don’t know what’s most important to fix.
  • Lack of standardized prioritization criteria: Tuning decisions may be based on intuition or anecdote rather than objective data.
  • Over-indexing on easy fixes: Teams may default to low-effort changes rather than high-value improvements.

Complexity

High: Maturing this capability requires using evaluation insights to score and compare tuning opportunities, aligning across teams on decision-making, and building governance into the tuning lifecycle.

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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.

The most important part of any journey is starting… To move from “Exploring” to “Experimenting”, focus on the following key actions:
  • Explore Key Concepts & Best Practices: Complete the Evaluation Driven Development for High-Impact GenAI Solutions workshop (2 hrs.) 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.
  • Review a Recent Evaluation Log for Tuning Signals: Identify top 2-3 underperforming prompts or outputs to improve.
  • Create a Tuning Prioritization Worksheet: Score each potential change by impact, effort, and alignment with readiness goals.
  • Test a High-Risk Fix First: Apply a change to a high-severity failure point and evaluate impact.
To move from Experimentation to “Lifting-Off”, prioritize the following actions:
  • 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 which tuning efforts delivered the most measurable improvement.
  • Define in-scope Processes and Guardrails: Create clear guidelines for how tuning needs are identified, reviewed, and ranked.
  • Close any Data or Measurement Gaps: Ensure that evaluation tools and logs capture the severity, frequency, and impact of issues.
  • 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: Introduce prioritization practices into all active tuning efforts and solution teams.
  • Build Awareness and Finalize Enablers: Share templates, scoring criteria, and examples of how prioritization improved outcomes.
  • Operationalize Your Comms Plan: Help teams and stakeholders understand how and why tuning priorities are being set.
To move from Lifting-Off to “Accelerating”, prioritize the following actions:
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases
  • Publish a Standard Tuning Prioritization Framework: Define how tuning opportunities are ranked by impact, risk, and feasibility.
  • Create a Central Tracker of Known Issues: Maintain a shared backlog of tuning needs, linked to evaluation results and status.
  • Define Ownership for High-Severity Issues: Assign roles and timelines to address the most urgent GenAI performance gaps.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Coach Teams on Prioritization Criteria: Provide workshops and 1:1 support to help teams align tuning focus with business value.
  • Integrate Prioritization into EDD Dashboards: Visualize issue severity, effort estimates, and decision status for every tuning candidate.
  • Apply a Scoring System Across Use Cases: Enable consistent comparisons of tuning needs across domains and functions.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Highlight Fixes That Delivered High ROI: Showcase tuning work that resolved critical issues or unlocked new use cases.
  • Share Before-and-After Examples of Prioritized Tuning: Help others see what strategic changes can achieve.
  • Recognize Cross-Team Alignment on Tuning Strategy: Celebrate when teams collaborate to focus on what matters most.
The “Accelerating” stage represents “Target State” for many capabilities. “Breaking Away”, on the other hand, suggests that the specific Capability represents a clear competitive advantage for your business.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine
  • Embed Tuning Prioritization into GenAI Sprint Planning: Make it part of regular backlog grooming and milestone reviews.
  • Integrate Prioritization Signals into Release Criteria: Ensure only high-impact tuning items are included in final iterations.
  • Link Tuning Needs to Business KPIs: Show how prioritization supports strategic goals such as CSAT, efficiency, or cost savings.
  • Leverage Automation: Using GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Auto-Score Tuning Opportunities Using Evaluation Results: Assign weights based on severity, impact, and recurrence.
  • Generate Recommendations for What to Fix First: Use rules or models to highlight the most valuable next steps.
  • Monitor and Alert on Critical Evaluation Failures: Flag when tuning priority shifts based on new data.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Benchmark Tuning Prioritization Across Teams: Compare how effectively groups are identifying and resolving top issues.
  • Update Prioritization Frameworks Based on Outcomes: Adjust scoring criteria based on what changes delivered the most value.
  • Incorporate User and Reviewer Feedback into Scoring: Blend qualitative insights with quantitative signals for smarter decisions.

Key "Watchouts"

As you take action you’ll want to avoid:

  • Tuning based on intuition alone: Without evaluation signals, it’s easy to waste time on low-impact changes.
  • Over-prioritizing low-effort fixes: Easy doesn’t always mean important-impact must guide the roadmap.
  • Ignoring downstream effects: Fixes in one area may introduce problems elsewhere if not evaluated holistically.
  • Failing to revisit prioritization regularly: New signals and needs emerge-static plans quickly become outdated.
  • Treating prioritization as a one-team task: Success requires input and alignment across product, engineering, and QA.

Targeted Benefits

While Prioritizing EDD-Related Tuning Needs can be challenging, its benefits are clear and compelling, including:

  • Faster improvement cycles: Focused work on high-impact issues accelerates GenAI performance gains.
  • Better use of resources: Teams avoid wasted effort on tuning that doesn’t matter.
  • Increased alignment and transparency: Shared criteria bring clarity to tuning decisions and tradeoffs.
  • Higher solution quality and trust: Improvements target real user and evaluator pain points.
  • Scalable, repeatable tuning strategy: A clear framework supports growth across teams and use cases.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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