Accelerated Innovation

Tracking GenAI Performance with Dashboards

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Tracking GenAI Performance with Dashboards

Description

Tracking GenAI performance with dashboards means providing transparent, real-time visibility into the effectiveness, adoption, and impact of GenAI initiatives. This capability enables teams to make data-informed decisions and adjust strategies quickly based on reliable insights.

Why it's Important

As GenAI programs expand across an enterprise, it becomes increasingly difficult to track what’s working, where gaps exist, and how performance compares to goals. Without clear visibility, leaders struggle to prioritize investments, teams lack feedback on impact, and innovation risks stalling. Dashboards turn GenAI data into a shared language across business, product, and technical stakeholders-ensuring efforts stay aligned and measurable. They support faster iteration, clearer accountability, and continuous improvement, making GenAI strategies more adaptive and outcome-driven.

Why it's Challenging @ Scale

  • Fragmented data sources: Performance signals often live in disconnected systems, making unified tracking difficult.
  • Lack of shared KPIs: Teams may use inconsistent metrics, leading to confusion and misaligned reporting.
  • Low dashboard adoption: Without clear ownership or perceived value, dashboards are often underused or outdated.
  • Limited real-time insight: Many dashboards are built for periodic reporting, not continuous decision-making.
  • Technical integration hurdles: Connecting GenAI tools with enterprise analytics platforms can require custom development.

Complexity

High: Maturing this capability requires aligning on shared success metrics, integrating across data systems, and fostering adoption across technical and non-technical 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.

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 GenAI Center of Enablement (CoE) Best Practices workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Defining the vision and mission of a GenAI CoE.
  • Establishing governance and ownership structures.
  • Cataloging core services and support functions.
  • Communicating value and success metrics.
  • Planning the evolution and scaling of the CoE.
  • 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.
  • Stand up a basic GenAI performance dashboard: Create a simple pilot dashboard using available metrics from one team or project.
  • Surface top-level GenAI KPIs in leadership forums: Begin sharing dashboard snapshots during leadership meetings to spark visibility and discussion.
  • Identify gaps in current performance tracking: Map where data is missing or unclear to inform future dashboard development.
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:
  • GenAI Use Case Discovery & Prioritization Best Practices.
  • GenAI R&D Acceleration & Applied Innovation Best Practices.
  • Enterprise GenAI Architecture & Tooling Best Practices.
  • GenAI Development Best Practices & Support.
  • 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 dashboard design, data sources, and user engagement to ensure accuracy and relevance.
  • Define in-scope Processes and Guardrails: Establish which teams, metrics, and update frequencies are covered by the dashboard governance.
  • Close any Data or Measurement Gaps: Identify missing or incomplete metrics and create plans to enhance data quality and completeness.
  • 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: Prioritize dashboard expansion by business units or use cases based on readiness and impact.
  • Build Awareness and Finalize Enablers: Develop training materials, documentation, and support resources for dashboard users and owners.
  • Operationalize Your Comms Plan: Communicate dashboard goals, updates, and successes regularly to stakeholders at all levels.
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.
  • Codify Dashboard Design Standards: Publish enterprise-wide guidelines for dashboard metrics, visualizations, and update cadence.
  • Create Reusable Templates and Checklists: Develop templates to accelerate dashboard creation and ensure quality across teams.
  • Embed Dashboard Reviews into Governance Workflows: Integrate performance tracking into regular project and portfolio reviews.
  • Accelerate Your Adoption: Intensify efforts to embed dashboards across your organization by expanding use cases, increasing user engagement, and removing adoption barriers.
  • Expand Dashboard Coverage Across GenAI Initiatives: Ensure dashboards cover a broad range of projects and metrics.
  • Automate Data Collection and Dashboard Updates: Use tools to reduce manual effort and maintain real-time accuracy.
  • Train Teams to Interpret and Act on Dashboard Insights: Empower users to leverage dashboards for decision-making and continuous improvement.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum.
  • Recognize Teams Delivering High-Impact Dashboards: Highlight successes in internal communications and leadership meetings.
  • Publish Stories of Data-Driven GenAI Success: Share examples where dashboard insights enabled faster, better decisions.
  • Use Awards or Incentives to Encourage Best Practices: Motivate teams to maintain dashboard quality and innovation.
The “Accelerating” stage represents “Target State” for many capabilities. “Breaking Away,” on the other hand, suggests this capability provides a clear competitive advantage for your business.
  • Streamline & Embed: Integrate GenAI performance dashboards into core workflows while eliminating friction points to make usage seamless and routine.
  • Incorporate dashboards into daily operations: Make performance insights accessible within collaboration and project management tools.
  • Simplify user experience: Ensure dashboards are intuitive and tailored to different roles and needs.
  • Use integrated analytics to monitor compliance: Provide real-time views of KPIs and governance adherence.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline data collection, analysis, and reporting, enhancing operational efficiency and reducing manual effort.
  • Automate dashboard data ingestion: Connect directly to GenAI systems for continuous metric updates.
  • Deploy real-time anomaly detection: Use AI to flag unusual performance trends.
  • Continuously scan dashboards for data quality: Ensure accuracy and relevance through automated validation.
  • Evolve & Further Accelerate: Continuously refine dashboard strategies based on insights and outcomes while expanding into more complex or high-impact use cases.
  • Update dashboard metrics based on evolving business goals: Adjust KPIs to align with strategic priorities.
  • Expand dashboard scope to include new GenAI capabilities: Incorporate emerging use cases and technologies.
  • Benchmark dashboard performance against industry leaders: Use external comparisons to drive continuous improvement.

Key "Watchouts"

As you take action, you’ll want to avoid:

  • Overloading dashboards with too many metrics: Excessive data can overwhelm users and obscure key insights.
  • Neglecting dashboard governance: Without clear ownership, dashboards can become outdated or inaccurate.
  • Ignoring user feedback: Failing to incorporate input from end users risks poor adoption and relevance.
  • Relying solely on manual updates: Manual data refresh processes increase error risk and reduce timeliness.
  • Underestimating training needs: Without proper training, users may misinterpret data or miss opportunities to act.

Targeted Benefits

While tracking GenAI performance with dashboards can be challenging, its benefits are clear and compelling, including:

  • Improved decision-making: Real-time, accurate insights empower faster, more informed choices.
  • Greater transparency: Dashboards create a shared understanding of GenAI progress across teams and leadership.
  • Accelerated innovation: Continuous feedback loops help teams iterate and improve GenAI initiatives quickly.
  • Enhanced accountability: Clear metrics and visibility align stakeholders on goals and performance.
  • Competitive advantage: Organizations that effectively monitor GenAI performance can optimize investments and outpace peers.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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