Why pre-screen food security analysts before the interview
Assessment data in this field is often months old, missing entire districts, and collected in conditions where nothing is standard. Waiting for better data means the decision is made without any. Analysts worth hiring state their uncertainty, say which areas the data does not cover, and still produce something a programme can act on. A short screen asks how they handled a gap that mattered.
What actually matters when screening Food Security Analyst candidates
- 01
Outcomes that landed
Check what their analysis actually triggered: an IPC Phase 4 classification that unlocked funding, a revised targeting list, or an early warning alert that moved pre-positioned stocks.
- 02
Stakeholder facilitation
Probe how they ran IPC or Cadre Harmonise technical working groups with government statistics offices, WFP, FAO and NGO partners when partners disputed the evidence or the phase.
- 03
Regulatory and policy command
Test command of the IPC Technical Manual thresholds, SMART survey standards, Sphere indicators, and how national food security policy or Humanitarian Response Plan cycles shape their timing.
- 04
Evidence and reporting
Assess their handling of FCS, rCSI, HHS and HEA baseline data: sampling limits, seasonal calendars, ODK or KoBo collection, and how uncertainty appeared in bulletins.
Pre-screening questions to ask Food Security Analyst candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Analysis that landed
3 questions01Can you describe a time when your analysis influenced a policy or intervention?
Listen forA specific decision that changed, with what the analysis showed and who acted on it.
Reports produced with no decision attached, or influence claimed with no example.
02Can you discuss a project where you analysed regional food security?
Listen forA named region with the data sources used and what the analysis concluded.
Projects described generically, or no region they can discuss in detail.
03Can you share your experience with field research in this area?
Listen forDirect field exposure, or a clear understanding of how assessment data is actually collected.
No contact with data collection, or field conditions assumed to be standardised.
Working with gaps
3 questions04How do you handle missing data or gaps in coverage?
Listen forGaps named explicitly with likely direction of bias stated, rather than filled silently.
Gaps imputed without disclosure, or national figures presented as though coverage were complete.
05How do you ensure the accuracy and reliability of the data you use?
Listen forSources triangulated against each other, with collection method and date considered for each.
Data accepted from a single source, or collection date not taken into account.
06What difficulties have you faced synthesising data from different sources?
Listen forDefinitional and timing mismatches recognised early, with the reconciliation approach clearly explained.
Sources combined without reconciling definitions, or inconsistencies averaged away.
Targeting the exposed
4 questions07Which indicators do you consider most important in assessing food security?
Listen forIndicators chosen for the context, with consumption and coping measures distinguished from production.
Production figures used as the primary indicator, or a fixed indicator set applied everywhere.
08How do you prioritise the regions or populations most at risk?
Listen forTargeting that accounts for access as well as availability, and for groups within a district.
Targeting at district level only, or the most inaccessible populations left out of the picture.
09What is your experience with early warning systems for food insecurity?
Listen forWarning thresholds tied to a defined response, with lead time understood by the responders.
Early warning treated as monitoring, or alerts issued with no agreed action attached.
10How do you incorporate climate considerations into your assessments?
Listen forSeasonal forecasts used with their uncertainty, and shocks distinguished from chronic vulnerability.
Climate treated as a background factor, or forecasts used with false precision.
In time to act
2 questions11How have you communicated complex findings to non-expert stakeholders?
Listen forFindings delivered in time to matter, with uncertainty kept in rather than dropped for clarity.
Findings delivered after decisions were made, or caveats removed from the summary.
12How do you evaluate the effectiveness of programmes intended to improve food security?
Listen forOutcomes measured against a counterfactual where possible, with honest limits on attribution.
Programme outputs reported as outcomes, or improvement attributed with no comparison.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Outcomes that landed
30%5Names specific alerts or classifications they authored and the response they drove: caseload figures, geographies, and the agency that acted.
Stakeholder facilitation
25%5Describes brokering consensus in a contentious technical working group, including how contested indicators and government sensitivities were resolved.
Regulatory and policy command
25%5Cites protocol thresholds and reference periods from memory and explains where national policy constrained or overrode analytical findings.
Evidence and reporting
20%5Shows dashboards or bulletins they built, states confidence limits plainly, and flags where thin data made a phase call defensible but uncertain.
The data is late, incomplete and missing whole districts, and the decision cannot wait. A one-way video screen asks how they handled that.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish analysis that changed something, test their handling of data gaps, and check targeting and communication.
How much field experience should I expect?
Enough to know how the data was collected. An analyst who has never seen an assessment in the field will trust figures that anyone who has would question immediately.
Evaluating answers
What is the strongest signal when screening this role?
An analysis that changed a decision, with the decision named. Analysts who work close to programmes have that. Anyone whose output is reports has not been in the room.
How do I judge their honesty about data?
Ask what a dataset did not cover. Real answers name inaccessible areas and their likely direction of bias. Anyone presenting national figures without caveats is producing a number, not an assessment.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
