AI interview coach

Interview practice designed for Fiscal Economists.

Upload your resume, tell us your target role, and we interview you based on your actual experience. Get feedback you can use immediately, so you walk in calm and prepared.

Method Jobs assistant
Practice under real pressure
Simulated interviews with targeted follow-ups and feedback.

How it works

Step 1

Upload your resume

We extract the key experiences and skills so your questions match your real background.

Step 2

Tailor the interview

Tell us the industry, role, and target companies. We build an interview tailored to your experience and target job.

Step 3

Get actionable feedback

Strengths, gaps, and rewrites to help you sound confident in your real interview.

From resume to tailored interview

John Doe
San Francisco, CA | john.doe@email.com
Experience - Economist
  • Built an unemployment forecasting model for a 12-state region using BLS and QCEW data in R, improving 6-month MAPE from 14% to 9% and informing quarterly budget planning.
  • Designed and executed difference-in-differences evaluations of a $85M workforce training grant using participant-level administrative records in Stata, producing estimates adopted in a legislative briefing.
  • Automated CPI component analysis by joining BEA, Census, and proprietary scanner data in SQL and Python, cutting recurring reporting time from 2 days to 3 hours.
  • Created Tableau dashboards for monthly inflation, wage, and housing indicators used by 60+ internal stakeholders, with documented data definitions and QA checks to reduce data issues by 40%.
Skills
Econometrics, Stata, R, Python, SQL, Policy analysis
Education
M.A. Economics, University of Michigan, 2019
Interviewer
How do you decide between a randomized experiment, difference-in-differences, and synthetic control for a policy evaluation?
You
I start with the assignment mechanism and data coverage: if we can randomize or have a natural lottery, I prefer an experiment; if treatment rolls out over time with credible parallel trends and good pre-period data, I use difference-in-differences with event-study diagnostics; if there is a single treated unit and rich pre-treatment time series, I consider synthetic control and sensitivity checks to donor pool choices.
Interviewer
Suppose parallel trends looks weak in your event study but leadership still wants an impact number by next month; what do you do?
You
I would not present a single point estimate as causal without caveats, so I would pivot to (1) tightening the comparison group via matching or reweighting on pre-trends, (2) adding unit-specific trends or using a staggered DiD estimator with robustness checks, and (3) reporting a range of estimates plus placebo tests, while also offering a descriptive operational KPI readout as a separate, non-causal update for the deadline.

Why practice first?

Interviews are high-pressure

Even strong candidates underperform without reps. Practice reduces stress and sharpens delivery.

Rehearsal builds muscle memory

You get comfortable telling your story, quantifying impact, and handling curveball follow-ups.

Feedback accelerates improvement

Immediate, actionable notes help you close gaps before the real interview.

4.8/5

Average session rating from beta users

84%

Report feeling more confident after one session

30 min

Typical time to complete a full mock interview

Pricing

One-off

One interview

$2.99

Use for an interview or resume review.

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