TNFD Supplier Questionnaire: What Nature Data to Request Without Overburdening SMEs

Educational practitioner material. Illustrative scenarios and wording require adaptation to the organisation’s facts, materiality approach, sector, locations and reporting context.

Nature data are difficult because they are location-specific, activity-specific and often several tiers upstream. A generic fifty-question form sent to every supplier tends to produce low response, inconsistent units, unsupported yes-or-no answers and duplicated requests from different buyers. SMEs may have strong local knowledge and controls but limited reporting systems, English-language capacity or access to geospatial tools.

The better design starts with the buyer decision. Is the information needed to screen a commodity, identify a sourcing location, assess water or biodiversity risk, support a disclosure metric, verify a claim, set a target or manage a corrective action? Each question should have a named use, owner, evidence expectation and rule for what happens if the answer is unknown.

Figure 1. A proportionate supplier-data funnel. All suppliers receive a short minimum core; only priority suppliers receive enhanced modules and deeper verification.

Evidence tier is not a universal quality score. A Tier 2 permit may be strong evidence that a permit exists but weak evidence that ecological outcomes are achieved. A Tier 1 explanation from a smallholder may be more current than an outdated certificate. The buyer should assess relevance, period, scope, method, location specificity and consistency.

Precise coordinates, customer names, supplier lists, Indigenous knowledge, grievance information, security-sensitive infrastructure and commercial formulations may require protection. The questionnaire should offer structured options: public, buyer-restricted, third-party data room, aggregated location, masked coordinates or not shared with reason. Access should be limited to the stated purpose and retention period.

An SME may not be able to provide coordinates, ecosystem-condition metrics or third-party verification in year one. The buyer should distinguish lack of capacity from lack of willingness or serious control failure. Improvement plans can set staged milestones: confirm activity and country, identify facility or sourcing region, provide permits and incidents, add measured water data, improve commodity origin, and eventually verify priority locations or outcomes.

One controlled data model can support several reporting systems, but the narratives and decisions remain framework-specific. TNFD focuses on nature-related dependencies, impacts, risks and opportunities and location-based assessment. GRI 101 focuses on reporting biodiversity impacts and related management and data. ESRS uses its own legal scope, double-materiality process and disclosure requirements. The buyer should map common fields while preserving the applicable version, boundary, materiality and claim.

1. Define decisions and users. List the risk, impact, disclosure, target, claim and procurement decisions the data will support.

2. Screen the supplier universe. Use sector, commodity, geography, spend, criticality, incidents and data gaps before contacting suppliers.

3. Issue the minimum core. Keep definitions, units, period, confidentiality and evidence options clear.

4. Trigger enhanced modules. Apply only to priority suppliers, commodities, locations or issues.

5. Validate and score evidence. Assess relevance, period, scope, method, location specificity, consistency and tier.

6. Resolve contradictions. Compare supplier answers with contracts, audits, public data, geospatial screening and previous periods.

7. Agree corrective or improvement plans. Set milestones, support, commercial consequences and escalation rules.

8. Integrate into registers. Link supplier evidence to commodity, location, DIRO, metric, target, claim and source IDs.

9. Control access and retention. Apply purpose limitation, confidentiality, permissions, retention and deletion rules.

10. Review effectiveness. Measure response quality, burden, duplicate requests, data improvement and decisions changed.

Illustrative scenario. A food company identifies a small packaging supplier as relevant because the product contains paper fibre and the production facility is in a water-stressed region. The SME cannot provide a biodiversity footprint and does not know forest origin for all fibre. The buyer requests the minimum core, facility location, water source and use, paper certification scope, recycled content, known pulp origin, incidents and data gaps.

The supplier provides facility and meter data, a valid chain-of-custody certificate for part of the volume and a self-declaration for the remainder. The buyer records mixed evidence tiers, uses region-level screening for unknown pulp, and agrees a twelve-month plan to improve origin coverage. It does not mark the supplier as non-compliant with TNFD or GRI; it uses the information to manage its own value-chain assessment and procurement decision.