Session
What Evidence Would Change Your Decision?
A practical clinic for testing whether workforce evidence is strong enough to act on
PAWorld26 San Francisco · 23–24 September 2026 · San Francisco
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About this session
Seema Swami will open with a concise provocation: analytics creates more value when it challenges the inherited decision frame rather than simply calculating the requested answer. Participants will then apply a decision-evidence chain to one consequential workforce choice, identify which evidence would genuinely change or constrain the recommendation, and compare where different groups reached different conclusions. The session closes with a practical checklist covering the decision owner, assumptions, evidence types, uncertainty, implementation, governance and the signals that should cause a decision to continue, change or stop.
Learning outcomes
- Challenge an inherited decision frame before committing to analysis.
- Combine different evidence types around one consequential workforce choice.
- Identify what evidence would strengthen, constrain or reverse a recommendation.
This session will explore
- Why analytics should test the problem definition and decision frame before answering a request.
- A practical chain connecting qualitative, behavioural, operational, experimental and economic evidence.
- A facilitated application to one consequential workforce decision.
- Comparison of where evidence changes, weakens or constrains the recommendation.
- A final checklist covering ownership, uncertainty, implementation, governance and stop criteria.
Context
A facilitated Day 2 Decision Room.
Speakers and contributors
Manisha GuptaFacilitatorVP, Products, AI/ML Analytics for People Intelligence (Former)WearVedic