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.
Data Accuracy & Timeliness
The quality and speed of the data you collect and present for quality reporting and analysis.
Target · >98% accuracy on all data entry; daily/weekly dashboards delivered within 1 hour of data availability.Consistently providing accurate data for our First Pass Yield (FPY) report, ensuring it's ready for the morning stand-up, which helps the team react quickly to issues.
Root Cause Identification Rate
How often your analyses correctly identify the true underlying causes of operational issues, not just the symptoms.
Target · Correctly identify root causes for 80% of assigned issues, leading to effective countermeasures.After a series of packaging errors, your 5 Whys analysis correctly points to an outdated training manual, not just operator error, leading to a permanent fix.
Process Cycle Time Reduction (Small Scale)
The reduction in time taken for specific, defined operational steps or micro-processes that you've analysed and improved.
Target · Achieve a 10-15% reduction in cycle time for at least two identified micro-processes annually.You streamline the order verification process, cutting the average time from 10 minutes to 8.5 minutes, freeing up capacity for the team.
Standard Operating Procedure (SOP) Adherence
How well your updated or newly created SOPs are followed by the operations team, indicating clarity and practicality.
Target · Achieve >90% adherence to new/updated SOPs within 3 months of implementation.After revising the equipment setup SOP, audit results show operators are consistently following the new steps, reducing setup errors by 20%.
Stakeholder Engagement & Buy-in
Your ability to build rapport with operations teams, get their input, and gain their agreement on proposed changes.
- Operations team leaders actively seek your input on process issues
- operators are willing to share observations and try new methods
- your proposals are generally accepted without major resistance after discussion.
Quality of Analysis & Recommendations
The thoroughness of your investigations and the practicality and effectiveness of your suggested improvements.
- Your manager rarely finds gaps in your data analysis
- your recommendations are clear, data-backed, and lead to sustainable improvements
- you're able to explain complex statistical concepts in simple terms to non-technical colleagues.
Documentation Clarity & Usability
How well your process maps, SOPs, and project reports are understood and used by the people who need them.
- Colleagues can easily follow your process maps
- your A3 reports are concise and tell a clear story
- you receive positive feedback on the clarity of your written communications.
Mentorship & Knowledge Sharing
Your willingness and ability to share your knowledge and help less experienced colleagues understand quality principles and tools.
- Junior team members come to you for advice
- you proactively offer to help colleagues with tricky data problems
- you contribute to team knowledge sharing sessions.