The scoreboard, and what is not on it. The hard targets, how often each is actually
looked at, and the quiet signals that never reach a dashboard.
Complex Project Delivery Rate
Number of complex analytical projects successfully delivered on time and within scope.
Target · 3-4 projects annually Leading the end-to-end analysis of a new client's first 6 months of operations, identifying 3 key areas for improvement, and presenting findings to the client's Head of Operations within the agreed 8-week timeline.
Stakeholder Satisfaction (on projects)
Feedback from operational leaders and client relationship managers on the clarity, accuracy, and actionability of your analytical project outputs.
Target · Average 85%+ satisfaction score After presenting a deep dive into AHT variance, the Contact Centre Director comments, 'This is the clearest explanation we've had, and the recommendations are spot on. We're implementing them next week.'
Mentee Development & Progress
Measurable improvement in the analytical skills and independence of junior analysts you mentor.
Target · 20% faster report creation for mentees; 10% reduction in their data errors A junior analyst you've been coaching now independently builds and validates a recurring weekly report that used to require significant oversight, demonstrating increased proficiency in SQL and Power BI.
Advanced Model Adoption Rate
Number of advanced analytical models (e.g., forecasting, simulation) you develop that are actually adopted and used by operational teams.
Target · 2+ models adopted annually Your newly designed shrinkage forecasting model is now the primary tool used by the WFM team for capacity planning, replacing their previous, less accurate method.
Process Improvement Identification
Quantifiable opportunities for operational efficiency improvements identified through your analysis.
Target · Identify opportunities totalling £250K+ annually Through process mining analysis, you identify a workflow deviation costing £75,000 per quarter in rework, leading to a project to standardise the process and save £300,000 annually.
Proactive Insight Generation
Your ability to spot potential issues or opportunities in the data before others ask, bringing them to the attention of relevant stakeholders.
- You regularly initiate discussions with managers about emerging trends
- you're often asked, 'What are you seeing in the data?' before you've even presented
- you propose new analyses without being prompted.
Clarity of Communication
How well you translate complex analytical findings into clear, concise, and actionable language for non-technical audiences.
- Operational managers consistently understand your presentations
- they can immediately grasp the 'so what?' from your reports
- you receive feedback that your explanations are easy to follow, even for complex topics like statistical significance.
Credibility & Trust
The degree to which operational teams and client managers trust your data and insights, and see you as a reliable expert.
- You're often the first person consulted when a performance question arises
- your recommendations are taken seriously and acted upon
- people come to you for data validation before presenting their own findings.
Mentorship Effectiveness
The quality of guidance and support you provide to junior analysts, helping them develop their technical and analytical capabilities.
- Junior team members actively seek your advice
- their work quality improves noticeably under your guidance
- you provide constructive, actionable feedback during code reviews and project discussions.
Problem-Solving Depth
Your ability to go beyond surface-level symptoms to uncover the true root causes of performance issues.
- Your RCA deep dives consistently identify underlying process or system failures, not just agent-level issues
- you challenge initial assumptions and dig for more data when a simple answer doesn't quite fit.
