Accelerated Innovation

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Ensuring You Have the KPI Insights to Win with GenAI

Description

This capability focuses on defining and tracking the right Key Performance Indicators (KPIs) to assess how GenAI is impacting your organization’s core business outcomes. It ensures that GenAI efforts are aligned to measurable value and supports confident, data-driven decisions about where to scale, pause, or pivot.

Why it's Important

Without clear KPI insights, it’s difficult to prove the value of GenAI or make informed strategic decisions. Many organizations focus on technical metrics but struggle to connect GenAI performance to actual business impact. Establishing the right KPIs enables teams to focus on what matters, secure executive support, and improve performance over time. Done well, KPI insights not only guide investment-but also accelerate GenAI maturity across the business.

Why it's Challenging @ Scale

  • Lack of Clear Business Alignment: Many teams struggle to translate GenAI activity into metrics that reflect business value.
  • Overemphasis on Technical Metrics: Organizations often default to measuring model performance (e.g., accuracy, latency) instead of outcomes that matter to business stakeholders.
  • Data Fragmentation: KPI-related data is often spread across tools and teams, making it hard to consolidate and interpret.
  • Evolving Use Cases: As GenAI capabilities shift, it can be difficult to define consistent, comparable KPIs across use cases.
  • Limited Measurement Expertise: Many teams lack experience in defining and tracking outcome-based KPIs tied to emerging technologies.

Complexity

High: Defining and operationalizing GenAI-specific KPIs across diverse teams and initiatives requires alignment, tooling, and ongoing iteration.

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GenAI Landing Page

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 Exploring the Keys to Winning with GenAI workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Developing a Clear & Compelling GenAI Vision.
  • Developing an Integrated Strategy & Acceleration Plan.
  • Productizing High-Impact GenAI Solutions.
  • Architecting the Enterprise Capabilities to Win with GenAI.
  • Ensuring You Have the Integrated Insights to Win with GenAI.
  • Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement your GenAI KPI Insights Strategy.

Jumpstarting Your Plan

  • Define your accountable leads), their roles, responsibilities, and committed capacity.
  • Deliver your first 90-day quick wins.
  • Configure your Delta 7/28 Plan module.
  • Define your measures of success and insights plan.
  • Build and kick off your change and comms plan.

Targeted Activities

  • Define your GenAI KPI tree and value driver map
  • Implement your adoption telemetry and KPI dashboard (activation, retention, task success)
  • Stand up your benefits tracking dashboard (KPI tree + value realization)
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame.
  • Define KPI Use Case Candidates: Identify a few early GenAI use cases where business-relevant KPIs can be tested and tracked.
  • Baseline Existing Metrics: Gather current-state performance data so future GenAI impact can be clearly measured.
  • Visualize GenAI Impact: Build a simple dashboard or visualization that showcases how GenAI is influencing a specific KPI.
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:
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale.
  • Assess Your Proposed Solution or Process: Evaluate whether GenAI-driven KPI insights are delivering actionable, business-relevant guidance.
  • Define in-scope Processes and Guardrails: Establish clear policies on how KPIs are defined, tracked, and governed to ensure responsible reporting.
  • Close any Data or Measurement Gaps: Identify missing inputs or siloed data that may be limiting visibility into GenAI’s business impact.
  • 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: Lay out a timeline for expanding KPI tracking across new GenAI use cases and business functions.
  • Build Awareness and Finalize Enablers: Communicate the value of KPI insights and ensure teams have access to tools, dashboards, and training.
  • Operationalize Your Comms Plan: Provide regular updates on KPI-driven results to build credibility, momentum, and alignment across stakeholders.
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.
  • Document KPI Definitions and Sources: Clearly define each KPI, its data source, and why it matters to GenAI success.
  • Develop KPI Training Modules: Create short trainings or job aids to help teams understand and use KPI dashboards effectively.
  • Create a Shared KPI Library: Maintain a central, accessible repository of validated KPIs for GenAI use cases across the organization.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers.
  • Expand KPI-Backed Use Cases: Prioritize use cases that already show KPI traction and scale them across teams or markets.
  • Build Feedback Loops into Dashboards: Allow users to annotate or comment on KPI results to capture context and guide future improvements.
  • Remove Friction from Measurement: Simplify how data is collected, integrated, and shared across teams to reduce time-to-insight.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum.
  • Highlight KPI-Driven Outcomes: Share examples of how GenAI contributed to hitting or exceeding business goals.
  • Publish a KPI Impact Scorecard: Regularly summarize and share GenAI’s business impact using tracked KPIs.
  • Recognize Analytics Champions: Spotlight teams or individuals who advanced KPI practices and inspired broader adoption.
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 KPI Dashboards in Daily Tools: Integrate live KPI views into the systems and tools teams already use.
  • Standardize Reporting Cadence: Align GenAI KPI reviews with existing business reporting rhythms (e.g., weekly reviews, QBRs).
  • Automate Data Refresh & Distribution: Ensure KPI dashboards are updated in near real-time and shared with relevant stakeholders automatically.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort.
  • Automate KPI Calculation and Alerts: Use GenAI tools to detect anomalies, surface insights, or generate summaries from KPI trends.
  • Expand Use of Predictive KPIs: Leverage AI to generate forward-looking KPIs that anticipate trends or risks.
  • Integrate KPI Data into Decision Workflows: Connect KPI outputs to strategic or operational workflows to prompt timely action.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases.
  • Analyze Longitudinal KPI Trends: Use historical data to assess the lasting impact of GenAI efforts and inform future strategy.
  • Expand KPI Frameworks Across Teams: Scale your KPI strategy to new functions, geographies, or product areas.
  • Evolve KPI Definitions as GenAI Matures: Regularly revisit which KPIs matter most as business needs and GenAI capabilities evolve.

Key "Watchouts"

  • Tracking What’s Easy, Not What Matters: It’s tempting to rely on available technical metrics instead of investing in the right business-oriented KPIs.
  • Using KPIs Without Context: Without clarity on what “good” looks like, KPI data can be misinterpreted or ignored.
  • One-Size-Fits-All Dashboards: KPIs must be tailored to audience and use case-generic dashboards rarely drive action.
  • Manual Data Collection: KPI processes that rely heavily on manual effort are prone to error and unlikely to scale.
  • Lagging on KPI Evolution: As GenAI use cases mature, failure to revisit and refine KPIs can lead to misaligned decisions.

Targeted Benefits

  • Business-Relevant Insights: Organizations can measure GenAI’s impact in terms that matter to leadership and stakeholders.
  • Faster, Smarter Decisions: Timely KPI data enables more agile, evidence-based strategy adjustments.
  • Stronger Adoption & Buy-In: When GenAI value is visible, teams are more likely to support and engage with the work.
  • Improved Resource Allocation: KPI insights help organizations focus time and investment where it drives the most value.
  • Sustained Competitive Edge: High-quality KPI tracking ensures GenAI efforts stay aligned with evolving business priorities.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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