← All briefings
China AIfieldwork evidence managementexecutive immersion

How to Build an Evidence Log for a China AI Delegation

Build a delegation evidence log that distinguishes demonstrations, host claims, source documents, conflicting observations and follow-up tasks.

Yubin Yang2 min read
Editorial executive fieldwork illustration for How to Build an Evidence Log for a China AI Delegation
Editorial executive fieldwork illustration for How to Build an Evidence Log for a China AI Delegation

An evidence log makes a meeting useful after delegates have forgotten its context. Give each entry a question, source, observation date and evidence type. A host's statement, a document and a witnessed workflow should remain distinguishable. Record contradictions rather than editing them into a smooth story, and connect each unresolved point to a follow-up owner.

What to evaluate

Claim structure

Record the claim, source, date, context and decision relevance.

Evidence type

Distinguish live observation, supplied record, public source, interview and inference.

Confidence

Rate corroboration, boundaries, incentives and unresolved contradictions.

Follow-up

Assign verification tasks, owners, dates and decision gates.

Worked evaluation exercise

The following is an illustrative assessment exercise, not a reported customer result.

An entry on a warehouse robot might read: claim, reduced picking delays; evidence seen, a short supervised demonstration; missing evidence, shift-level throughput and exception logs; follow-up owner, operations lead. That record supports a request for more information, not a conclusion about return on investment. Use a separate field for permission to quote or circulate the material. Another delegate should be able to reconstruct why the team reached its decision.

Questions for the operating team

  • Did we observe this directly?
  • What would disconfirm the claim?
  • Which decision changes if it is true?

Warning signs

  • Notes organised only by meeting.
  • Photographs treated as full evidence.
  • Group consensus erasing minority observations.

Planning the visit

Use these questions to scope an industry-focused China AI program. Agree which records and operating workflows can be examined before confirming meetings; host participation and access require confirmation. Our research method explains how we structure the brief and follow-up.

References and scope

These references provide policy or risk-management context. They do not independently verify a host's performance or the illustrative exercise above.