Identifying & Understanding Your GenAI Support Operations Gaps
Description
This capability enables organizations to identify and understand performance gaps within GenAI support operations, including where user assistance may fall short or fail to meet service-level expectations. It focuses on evaluating GenAI support quality, consistency, responsiveness, and reliability across key workflows and user journeys.
Why it's Important
As GenAI solutions increasingly handle frontline support and knowledge delivery, their ability to meet user expectations becomes critical. When support operations falter-whether through irrelevant answers, slow response times, or inconsistent experiences-user satisfaction and trust suffer. Identifying these gaps early allows teams to proactively address issues before they escalate, ensuring that GenAI support systems remain helpful, responsive, and aligned with service standards. This also lays the foundation for continuous improvement, efficient issue resolution, and more intelligent self-service capabilities over time.
Why it's Challenging @ Scale
- Lack of clear performance signals: GenAI support quality issues-like irrelevant, slow, or unhelpful responses-often go undetected without intentional evaluation frameworks
- Feedback fragmentation: User feedback on GenAI support is rarely centralized, making it difficult to analyze patterns or prioritize improvements
- Unclear evaluation standards: Most teams lack a consistent rubric for assessing GenAI support reliability, responsiveness, or completeness
- Multi-layered root causes: Gaps can originate from prompt design, model limitations, retrieval issues, or outdated knowledge-making triage complex
- Expanding scope and expectations: As GenAI support is deployed across more use cases, teams must adapt to evolving user needs, languages, and expectations
Complexity
High: Maturing this capability requires scalable instrumentation, data-driven evaluation practices, and integrated workflows for identifying and closing GenAI support gaps.
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.
Exploring 
Experimenting
Exploring Experimenting
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 Iteratively Tuning Your GenAI Solutions workshop (2 hrs.) to understand foundational key concepts and explore applied best practices
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- Assessing Your Solution’s Performance
- Identifying and Prioritizing Improvement Opportunities
- Actioning Improvement Opportunities
- Understanding the Interdependent Nature of GenAI Solutions
- Making Data-Driven ‘Go / No-Go’ Decisions
- Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement GenAI Strategy.
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- 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.
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- Conduct a Support Gap Discovery Sprint: Identify and tag common GenAI support failures across 1-2 high-traffic flows
- Create a GenAI Support Feedback Loop: Launch a lightweight mechanism to collect and triage user feedback on GenAI support quality
- Build a Support Evaluation Scorecard: Design a simple rubric to assess GenAI support reliability, helpfulness, and response accuracy
Experimenting 
Lifting-Off
Experimenting Lifting-Off
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:
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- Optimizing Your Data
- Optimizing Your Model(s)
- Optimizing Your Natural Language Understanding & Intent Classification
- Optimizing Your GenAI Search
- Optimizing Your GenAI Retrieval
- Optimizing Your GenAI Responses
- Optimizing Your Safeguards
- Optimizing Your GenAI Solution Costs
- Optimizing Your GenAI Support
- Optimizing Your EDD Approach
- Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale
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- Assess Your Proposed Solution or Process: Evaluate how GenAI support currently performs across priority flows using sample queries or test cases
- Define in-scope Processes and Guardrails: Identify the moments where GenAI support must meet specific SLAs, routing rules, or escalation triggers
- Close any Data or Measurement Gaps: Implement logging and analytics to monitor support failures, resolution times, and user feedback trends
- Define Your Adoption & Scaling Plan: Create a structured roadmap for how GenAI solutions will be rolled out across teams, workflows, or business units
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- Define Your Phased Implementation Plan: Outline how GenAI support will expand from pilot flows to broader use cases based on readiness and impact
- Build Awareness and Finalize Enablers: Share evaluation criteria, sample transcripts, and gap-tagging playbooks with teams supporting GenAI scaling
- Operationalize Your Comms Plan: Establish regular updates to communicate progress, share insights, and reinforce best practices for support quality
Lifting-Off 
Accelerating
Lifting-Off Accelerating
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
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- Standardized Support Evaluation Criteria: Publish scoring rubrics to assess response quality, resolution time, and user experience
- Support Gap Tagging Guidelines: Create a common taxonomy and process for tagging and tracking recurring support issues
- Integrated Evaluation Workflows: Embed evaluation steps into GenAI support tuning, QA, and continuous improvement processes
- Accelerate Your Adoption: Intensifying efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
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- Expand Support Monitoring Across Journeys: Extend GenAI support tracking across internal, external, and multilingual channels
- Equip Teams with Gap Detection Tools: Provide logs, dashboards, and review templates to enable frontline teams to surface issues
- Launch GenAI Support Quality Reviews: Implement regular deep dives into support performance with cross-functional stakeholders
- Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
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- Highlight Notable Support Improvements: Share before-and-after examples that demonstrate measurable improvement in support quality
- Recognize Feedback Contributors: Spotlight users or teams who identified impactful support issues and drove resolution
- Publish Key Learnings: Summarize evaluation insights and lessons learned to inspire further refinement and adoption
Accelerating 
Breaking-Away
Accelerating Breaking-Away
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
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- Embed Support Evaluation into Platforms: Provide in-platform ratings or tagging for users and agents to flag GenAI support failures
- Automate Gap Detection Across Journeys: Use AI to detect low-quality responses across large volumes of support transcripts
- Align Support Gaps to Live Operations Dashboards: Display key GenAI support KPIs alongside live agent performance for end-to-end visibility
- Leverage Automation: Using GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
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- Auto-Triage GenAI Support Failures: Route flagged issues to the appropriate teams for investigation and resolution
- Suggest Fixes Based on Historical Patterns: Use previous improvement data to propose targeted solution adjustments
- Train Models on Support Gap Examples: Fine-tune prompts or retrieval logic using curated examples of past support misses
- Evolve & Further Accelerate: Continuously refining GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
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- Refresh Evaluation Criteria Based on Performance: Evolve scoring rubrics to reflect updated user needs and enterprise priorities
- Extend Support Evaluation to New Modalities: Apply quality standards to voice, video, or multimodal GenAI support channels
- Benchmark GenAI Support vs. Traditional Channels: Compare resolution quality and user satisfaction across AI and human-assisted support
Key "Watchouts"
As you take action you’ll want to avoid:
- Over-relying on subjective feedback: Without structured evaluation, insights are inconsistent and hard to action
- Missing the root cause: Treating symptoms-like vague or slow responses-without identifying underlying prompt, retrieval, or data issues
- Fragmenting insights: Support evaluations disconnected from solution and model teams limit improvement impact
- Letting gaps persist: Failing to track and act on recurring support failures undermines trust and experience
- Assuming support quality is static: GenAI performance varies over time-ongoing evaluation is essential
Targeted Benefits
While Identifying & Understanding Your GenAI Support Operations Gaps can be challenging, its benefits are clear and compelling, including:
- Better support experiences: Targeted improvements increase clarity, helpfulness, and consistency
- Faster problem resolution: Teams quickly surface and fix recurring support issues
- Stronger trust and adoption: Reliable support systems drive broader use and confidence in GenAI
- Deeper improvement insights: Clear visibility into where and why support is falling short
- Competitive service advantage: Elevated support quality positions GenAI as a differentiator
Looking to Move Faster, and 'Go Bigger'?
Contact us to explore additional acceleration resources or support.
