Sample: Interview feedback · a fictional candidate and job
Alex Morgan (fictional), applying for Product Analyst at Northwind Pay (fictional). Real output varies with your resume and the job; scores are estimates, not guarantees.
Your answer
68/ 100
Getting there
AI estimate
Question 1 · Role-specific
Tell me about a time your analysis changed what a team decided to do.
A real example with a clear decision, but the analysis has a gap an interviewer will probe, and the ending is vague.
How it scored
- Structure (STAR)70
- Communication72
- Technical accuracy58
- Confidence64
- Clarity74
- Grammar85
- Relevance82
- Filler words60
- Length80
What worked
- Specific situation with a real decision at stake
- You did the analysis yourself, in SQL
What to improve
- Comparing openers with non-openers mixes in who opens emails — say how you accounted for that, or say it was a first look
- End with the result: what happened after they kept the email
- Drop the filler (“Um”, “so that was good”)
Missing details
- How many people or weeks the comparison covered
- What “bought more” meant (orders, revenue)
- What happened afterwards
Your answer, tightened. Parts in [brackets] are prompts for missing points — fill them in only if they’re true for you.
At Lumen Retail, the marketing team planned to cut a weekly email they believed wasn’t driving sales. I wrote SQL comparing purchases from people who opened it with those who didn’t, over [time period]. Openers placed [more orders / more revenue], though I flagged that frequent buyers are also more likely to open emails. I presented the results in a dashboard, and the team kept the email and [what happened next]. Next time I’d suggest a holdout test to measure the email’s effect directly.
From your resume you could mention
- Cut monthly report preparation from 3 days to 1 day by automating data pulls in SQL
- Built a churn model in Python on a public subscription dataset
They might follow up with
- How did you know the email caused the purchases?
- How would you set up an A/B test for this?
- What would have changed your recommendation?