Describe turning conflicting evidence into a concise recommendation.
Pick a real briefing where studies did not agree. Explain the question and the decision needed. Describe how you weighed the evidence, looking at quality, size and how well each study fitted the context. Then show how you wrote a short brief, stating what is known, what is uncertain and the main options. Give a clear recommendation with your reasons. Finish with the response and what you learned about making complex information clear.
How would you assess whether a proposed policy addresses the real problem?
Start by defining the problem in plain words, and check it with data instead of assuming it. Ask what is happening, to whom, and what is causing it. Look at the best available evidence, including research and local data. Then check whether the policy addresses that cause, and compare it with other options, including doing nothing. Consider who gains and who loses, and be open about what you do not yet know.
How do you include stakeholder input without treating anecdotes as representative data?
Treat stakeholder input as valuable but different from data. Set up a clear, open process so a wide range of people are invited, including those who rarely speak up. Record what you hear in a consistent way. Then triangulate, meaning you compare those views with surveys, official data and research. Use stories to explain and illustrate, not to prove. Be transparent in your report about who was heard and how their input was used.
A policy improves average outcomes but worsens one vulnerable group's outcome. What do you recommend?
Do not rely on the average alone. Break the results down by group to see how big the harm is and who is hurt. Look into the causes, such as barriers to access or unintended effects. Then consider ways to reduce the harm, for example targeted support, changes to design or a phased start. Explain the trade-offs honestly to decision makers, and suggest monitoring the group closely after launch.