1. Tell me about yourself, in 60 seconds
Everyday · 3 of 4 passed
A spoken length and "only these facts" gets an answer you can say without inventing a career.
Write my answer to "Tell me about yourself" for [the role], about 60 seconds spoken (120 to 150 words), using only these facts: [your facts]
How we filled it in and checked the replies
Write my answer to "Tell me about yourself" for a junior data analyst role at a retailer, about 60 seconds spoken (120 to 150 words), using only these facts: 3 years as a store supervisor Built the store's weekly sales tracker in Google Sheets Finished a data analytics certificate in 2026 Learned SQL and Looker in the certificate Want to work with data full time
- Only the facts: Nothing invented beyond the five facts.
- Structure: A clear arc that ends on why this role.
- Sounds spoken: Natural to say out loud.
- Automatic rules: 120 to 150 words.
GPT-6 Luna
PassedGraded 4.0 of 5 on average (lowest 4).
“I’ve spent the past three years working as a store supervisor, where I’ve gained firsthand experience with the day-to-day realities of retail. I also built our weekly sales tracker in Google Sheets, which gave me a practical way to organize sales information and made me realize how much I enjoy working with data. To build on that experience, I completed a data analytics certificate in 2026, where I learned SQL and Looker. I’m now looking to bring together my retail background and those analytical skills in a junior data analyst role. I understand the store environment, and I’m excited to use data to help a retailer better understand its sales and performance. Ultimately, I’d like to make data analysis my full-time career.”
1 message on Pro · $0.0001 to run · 2.6 s · 149 tokens out
GPT-6 Sol
PassedGraded 4.7 of 5 on average (lowest 4).
I’ve spent three years as a store supervisor, so I know how important it is to have a clear view of sales. In that role, I built the store’s weekly sales tracker in Google Sheets. That experience got me interested in working with data more directly, and I finished a data analytics certificate in 2026, where I learned SQL and Looker. Now I’m looking for a junior data analyst role where I can work with data full time. A retailer feels like a natural fit because I can bring my store experience alongside the skills I’ve started building. I’d be excited to keep developing those skills while helping a team make sense of its data and understand what’s happening in stores.
1 message on Pro · $0.0022 to run · 3.9 s · 355 tokens out
Claude Sonnet 5.5
PassedGraded 4.0 of 5 on average (lowest 3).
Here's a version at about 135 words: "I've spent the last three years as a store supervisor, where I managed daily operations and got a close-up view of what actually drives retail performance. While I was there, I built the store's weekly sales tracker in Google Sheets. That project showed me how much I enjoy turning numbers into something the team can use to make decisions. That interest led me to complete a data analytics certificate in 2026. In the program, I learned SQL and Looker, which let me take the kind of work I was doing in spreadsheets and apply it in a more structured, scalable way. Now I want to work with data full time. I'm excited about this role because it combines my hands-on retail experience with the analytical skills I've built, and I'd love to use both to help your team."
1 message on Pro · $0.0039 to run · 2.9 s · 242 tokens out
Kimi K3
FailedGraded 4.0 of 5 on average (lowest 2); but 164 words, over the 150 allowed.
"For the past three years, I've been a store supervisor, and that's actually where my interest in data started. One of the things I'm most proud of was building our store's weekly sales tracker in Google Sheets. I created it from scratch, and it became the tool we relied on to spot trends and make decisions week to week. Doing that work made me realize I wanted to go deeper, so I completed a data analytics certificate in 2026, where I learned SQL and Looker. That gave me the technical foundation to go beyond spreadsheets and work with data the way an analyst does. What excites me about this role is the chance to work with data full time, in a retail environment I already understand from the inside. I know how stores run, I know what questions managers ask, and now I have the skills to answer those questions with data. I'm ready to bring both sides of that experience to your team."
1 message on Pro · $0.0024 to run · 6.7 s · 218 tokens out