Economist interview questions and practice.
Analyses economic data and trends to forecast conditions and advise businesses, banks and government on policy and strategy.
No card for the taster. Full interviews are paid one at a time. Nothing renews.
Last reviewed
This page is still being written: no authored question bank for this competency family. The role is fully supported in the interview itself; only the published question bank is outstanding.
What interviewers for Economist actually ask
The question bank for this role is still being written. These are the first three competencies in the model the interview is scored against.
Translates a business or policy question into a research design with the right method (qualitative, quantitative, mixed, desk), sample and instruments, and can defend the choices.
Analyses survey and market data rigorously: weighting, significance, segmentation and modelling, and avoids over-interpreting small or biased samples.
Conducts interviews, focus groups or ethnography that surface real motivations, and synthesises findings into themes without cherry-picking quotes.
What they are really assessing
Interviewers rarely score whether you seemed nice. They score against a model like this one, usually without telling you it exists. Each competency has a weak, adequate and strong shape, and the difference is almost always the level of specific detail you volunteer without being asked.
Research design & method selection
Translates a business or policy question into a research design with the right method (qualitative, quantitative, mixed, desk), sample and instruments, and can defend the choices.
- Weak
- Defaults to a survey or a few interviews regardless of the question; cannot explain why a method was chosen, what the sample represents, or the study's limitations.
- Adequate
- Chooses methods appropriate to the question and designs sensible instruments, but sampling and bias are handled informally and limitations are noted only afterwards.
- Strong
- Describes a study where the method and sample were chosen to fit the decision, the biases anticipated (selection, response, leading questions) and mitigated, and what they would change in hindsight.
Quantitative analysis & statistics
Analyses survey and market data rigorously: weighting, significance, segmentation and modelling, and avoids over-interpreting small or biased samples.
- Weak
- Reports percentages without confidence intervals or base sizes; treats any difference as a finding; cannot explain weighting or a significance test.
- Adequate
- Uses significance testing, weighting and basic segmentation, but struggles with when tests are inappropriate or how to communicate uncertainty.
- Strong
- Gives an example of stopping an over-interpretation (small base, confounded comparison), a segmentation or model built with validation, and how they presented uncertainty to the client.
Qualitative research & insight extraction
Conducts interviews, focus groups or ethnography that surface real motivations, and synthesises findings into themes without cherry-picking quotes.
- Weak
- Interviews are surveys read aloud; findings are a list of quotes; cannot describe how themes were derived or a case where qualitative work changed a view.
- Adequate
- Moderates well and codes transcripts into themes, but the synthesis method is informal and disconfirming evidence is under-reported.
- Strong
- Describes a study where moderation technique surfaced an unexpected motivation, the coding and synthesis process used, how disconfirming cases were handled, and the decision the insight changed.
Market sizing & competitive intelligence
Builds defensible market estimates and competitive analyses from secondary sources, triangulation and expert input, stating assumptions and confidence explicitly.
- Weak
- Market sizes are copied from a report without checking; competitive analysis is a feature table; cannot explain the assumptions behind a number.
- Adequate
- Triangulates top-down and bottom-up estimates and evaluates sources, but assumptions are not always explicit and sensitivity is not shown.
- Strong
- Describes a market sizing with the method, sources, key assumptions and ranges, how it was validated against a known data point, and a competitive insight that changed strategy.
Turning findings into actionable insight
Presents research as a clear story with implications and recommendations for the decision-maker, not a data dump, and handles challenge with evidence.
- Weak
- Reports are 100-slide decks of every chart; no recommendation; cannot describe a presentation that led to a decision or a challenge they handled.
- Adequate
- Leads with key findings and offers recommendations, but implications are generic and challenges are met with more data rather than a clear argument.
- Strong
- Gives a specific presentation: the one-line insight, the recommendation, how a sceptical stakeholder was addressed with evidence, and the decision and outcome that followed.
Client & stakeholder management
Manages briefs, expectations, scope and timelines with clients or internal stakeholders, including when findings are unwelcome or the brief changes.
- Weak
- Accepts any brief as given; cannot describe pushing back on scope, renegotiating a timeline, or delivering findings the client did not like.
- Adequate
- Clarifies briefs and manages scope, and has delivered unwelcome findings, but the relationship suffered and they cannot say how they repaired it.
- Strong
- Describes reframing a brief with the client, a scope or timeline renegotiation with the trade-offs made explicit, and an unwelcome finding delivered in a way that kept trust and led to action.
Research ethics, quality & data protection
Applies ethical standards (consent, anonymity, POPIA), quality controls on fieldwork and data, and honest reporting of limitations.
- Weak
- Cannot describe consent, anonymisation or fieldwork quality checks; limitations are omitted from reports.
- Adequate
- Applies consent and anonymisation and checks fieldwork quality, but controls are ad hoc and limitations are understated.
- Strong
- Describes a fieldwork quality problem they detected (fraudulent responses, interviewer error), how it was handled, and how they ensure consent, data protection and honest reporting of limitations.
Reading the questions is the easy half. Try answering three of them out loud, to someone who follows up.
Try 5 minutes freeWhat your 30 minutes covers
The same shape as a real first-round interview, pitched at mid-level Economist and scored throughout.
Warm-up, then Motivation & fit
Build rapport, settle nerves, and get a short walk-through of your background. Why this role, why this employer, and what you are actually looking for.
Your experience
Two or three real situations from your CV in depth: context, what you did, what happened, what you would change.
Pitched at mid-level scope: owns studies end to end from brief to presentation; accountable for quality and client satisfaction.
Role-specific questions
The core competencies and domain knowledge for the role, with follow-ups on anything vague.
Drawn from this role's domain: turning a vague client brief into research objectives and a design, choosing between qualitative, quantitative and mixed methods and sampling design, weighting and representativeness, and the rest of the competency model.
Your questions, then Wrap-up
Your questions for the interviewer, and yes, they are assessed. Next steps and a clean finish.
What changes with seniority
The questions barely change between levels. What changes is the answer they will accept.
| Junior | Mid | Senior | |
|---|---|---|---|
| Scope of ownership | Owns components of studies (questionnaire drafts, analysis, sections of reports) with review; may moderate simple interviews. | Owns studies end to end from brief to presentation; accountable for quality and client satisfaction. | Owns a client portfolio or research area; accountable for insight quality, methodology standards and commercial results. |
| Tolerance for ambiguity | Handles defined tasks and raises questions on brief gaps. | Reframes vague briefs, chooses methods, handles fieldwork problems and changing scope. | Shapes what questions clients should be asking; handles novel problems and methodological trade-offs. |
| People leadership | No formal leadership. | Supervises juniors and fieldwork suppliers. | Leads researchers, reviews and signs off work, develops people. |
| Who they deal with | Own team, fieldwork suppliers, occasionally clients in meetings. | Clients or internal business owners, fieldwork agencies, marketing and product teams. | Senior client stakeholders, executives, agency partners, suppliers. |
What your report would say
Every competency above scored from your own answers, the sentence that cost you quoted back, and your weakest answers rewritten the way a strong Economist would have said them.
- Describes a study where moderation technique surfaced an unexpected motivation, the coding and synthesis process used, how disconfirming cases were handled, and the decision the insight changed.
The format, not a result. Scores on your report come from what you actually said.
Is the AI interviewer realistic? See a full sample report