Interview prep for your candidate
Prep notes that help your candidate show up ready, without coaching them to fake it.
Last tested 2026-10-19 Its example inputs were run through Claude Haiku 5.5, and an AI judge (Jev) scored the reply 70/100 for following the rules and doing the task.
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Example output
I wrote this by hand on 2026-10-19 from the made-up inputs below, to show what a good result looks like. Your results will vary, so read every draft before you use it.
Example inputs
- Role, company, interviewers: Senior Data Analyst, Finance; interviewers CFO Dan and analyst lead Mei
- Candidate's strengths and gaps: Strong SQL and exec dashboards; Python is basic
- Interview format: 45 min video, includes a 10-min SQL exercise
What they care about
Clean data, dashboards the CFO trusts, and being able to explain the numbers.
Likely questions
1. A dashboard that changed a decision. Use your bank's monthly executive dashboard.
2. A time your data was wrong. What did you do?
3. Explaining a result to an executive. Your monthly leadership presentations.
4. How you check your SQL for errors.
5. How you'd prioritize requests from five people.
6. What's your Python level?
On Python, be honest: "I use it for basic scripts. SQL is my strength, and I'm actively learning more Python."
Questions to ask
1. "What will this person build first?"
2. "Which reports does the CFO use most?"
3. "What does a good first 90 days look like?"
Logistics
45-minute video call, including a 10-minute SQL exercise. Test your camera, and keep scratch paper handy.AI drafts can be wrong. Check every fact, name, and number before you send anything. Free: build prompts with no limit and 5 AI runs a day. A paid plan: 100 runs a day, 1,000 checks a day, batch runs for 50 contacts.
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