Make better data a shared effort.
Engage suppliers, track information gaps and distinguish primary evidence from estimates.
A blank response is a starting point for a conversation.
Suppliers have different systems, resources and levels of data maturity. A useful programme makes expectations clear and helps teams see where follow-up will matter most.
A workflow you can work with.
Prioritize suppliers
Define the categories and relationships in scope before sending requests.
Request clearly
Explain the data boundary, period, format and evidence needed.
Understand quality
Distinguish supplier-reported values, estimates and reviewed records.
Improve together
Track open questions and focus support where it can strengthen the dataset.
Turn a questionnaire into a usable supplier record
A procurement team requests annual energy data from a component supplier. The response includes an estimate for one missing month. Retain that distinction, record the estimation method and assign a follow-up rather than treating all figures as equally certain.
A supplier coverage view with evidence quality, open requests and next steps.
Keep the context with the data.
- Supplier and category boundaries
- Primary data versus estimates
- Ownership of follow-up requests
Know what sits behind the promise.
What if suppliers cannot provide primary data?
Keep the gap visible. If an estimate is appropriate for the chosen method, document its basis and plan how data quality can improve.
Should all suppliers receive the same questionnaire?
Use a common core where practical, but tailor requests to the activity and the supplier’s ability to provide meaningful evidence.