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.
Data Accuracy Rate
The percentage of data points you've collected and entered that are free from errors or inconsistencies when cross-referenced with source documents.
Target · >99% accuracy on all manually entered data If you input 500 data points for Q1, we'd expect no more than 5 minor errors to be found during review. Catching a miskeyed number like '250 kWh' instead of '2500 kWh' before it goes anywhere is a win.
Timeliness of Data Collection
How often you complete your assigned data collection tasks by their set deadlines, especially during peak reporting periods.
Target · 100% of assigned data collection tasks completed by deadline Getting all Q2 utility bills uploaded and categorised by the second Friday of July, even if it means chasing a few stragglers. Missing these deadlines can hold up the whole reporting process.
Query Resolution Time
The speed at which you investigate and resolve any data validation queries or discrepancies flagged by your manager or the reporting specialist.
Target · Resolves data validation queries within 48 hours of being raised If the Specialist flags that the water usage for the London office looks unusually high, you'll dig into the source documents, contact the office manager, and figure out why within two days, providing a clear explanation.
Data Traceability & Documentation
How well you document the source and methodology for each data point you collect, making it easy for others (and future you!) to understand.
Target · 95% of data points have clear, accessible source documentation links Ensuring that when you input the total waste generated, there's a clear link to the original waste management invoice or report, rather than just a number floating in a spreadsheet. Auditors love this.
Proactive Problem Spotting
You don't just input numbers; you notice when something looks off and flag it. This means you're not just a data entry clerk, you're a data guardian.
- You'll bring unusual data trends to your manager's attention before they ask. For example, 'The electricity usage for Factory B is down 30% this month – I've checked the bill, seems correct, but it's a big drop. Should I investigate why?'
Stakeholder Communication Clarity
When you're chasing data, you're clear, polite, and explain *why* you need it. You make it easy for busy colleagues to help you.
- Colleagues respond promptly to your data requests. Your emails asking for information are concise and include the deadline and impact. You'll get feedback like, 'Thanks for making that data request so clear, it really helped.'
Learning & Application of Frameworks
You actively learn about the reporting frameworks (like GRI or SASB) and start to understand how the data you're collecting fits into the bigger picture.
- You'll ask intelligent questions about why certain data points are needed for specific disclosures. You can correctly categorise basic emissions data into Scope 1 or 2 without constant guidance. You might even spot a relevant data point that wasn't explicitly asked for.
Adherence to Data Governance
You consistently follow our established processes for data collection, validation, and storage, ensuring consistency and auditability.
- Your data entries consistently follow naming conventions. You use the correct templates. You don't create your own 'shortcut' spreadsheets that bypass our systems. Your work is always organised and easy for someone else to pick up.
