The scoreboard, honestly: the hard targets, how often each one is actually looked at,
and the quiet human signals that never make it onto a dashboard.
Process Documentation Completion
The percentage of 'as-is' and 'to-be' process maps you're assigned that are completed to our quality standards.
Target · 95%+ within agreed timelinesIf you're given 10 processes to map this quarter, we expect 9 or 10 of them to be fully documented and signed off by the relevant teams by the deadline.
Data Accuracy for Analysis
The error rate in the data you collect, clean, and use for your process analysis.
Target · <2% error rateYou're pulling invoice data from SAP for a payment process review. If you've got 1,000 lines of data, we'd expect no more than 20 discrepancies after your cleaning and validation work.
Small Improvement Project Delivery
The percentage of small-scale improvement projects you own (e.g., fixing a specific data entry error, streamlining a report) that are delivered on time and meet the defined objectives.
Target · 85%+ on time and to specYou've got three projects to reduce manual data transfers. If two are successfully implemented and show the expected time savings, that's good. If all three are, even better.
Identified Root Causes
The number of validated root causes you identify for process issues, rather than just treating symptoms.
Target · At least 3-5 per major process analysisFor a slow onboarding process, you don't just say 'it's slow'. You identify 'lack of clear ownership for document collection', 'bottleneck in IT provisioning', and 'no automated reminders for new hires' as the real reasons.
Stakeholder Engagement & Buy-in
How effectively you work with the teams whose processes you're looking at, getting them on board with your findings and proposed changes.
- Teams willingly share information and data with you. They actively participate in workshops you run. You get positive feedback from managers about your collaborative approach. People actually use the new process you helped design.
Problem Solving & Analytical Rigour
Your ability to really dig into a problem, ask the right questions, and use data to back up your conclusions, rather than just relying on gut feeling.
- Your analysis clearly shows the steps you took and the data you used. Your proposed solutions directly address the identified root causes. Your manager rarely has to point out obvious gaps in your thinking or data.
Solution Practicality & Implementability
How realistic and actionable your proposed improvements are, meaning they can actually be put into practice without major disruption or cost.
- Your suggested 'to-be' processes are easy for teams to understand and adopt. Your recommendations consider existing system limitations and team capacity. Solutions you propose actually get implemented and stick.
Self-Direction & Initiative
Your ability to crack on with tasks and projects without needing constant hand-holding, spotting opportunities and taking the lead on smaller issues.
- You proactively schedule meetings and follow-ups. You start investigating a problem before being explicitly told to. You bring solutions to your manager, not just problems. You're not waiting for someone to tell you what to do next on a routine task.