Interview bot beta
Use this AI Interview Lab to practice refining broad inquiries into specific, accountable reporting questions. Step into the story, question your sources and hone your reporting style.
You’ll jump into a bowling story with three built-in interviews: two competitors and one outside voice. Everyone gets the same setup, so it’s your reporting instincts that make the difference.
Use these patterns to see the difference between weak, decent and strong reporting questions.
School budget hearing
"Any comment?"
"Are you worried about the budget cuts?"
"You voted to cut after-school transit while keeping athletic travel unchanged. What criteria produced that tradeoff and what impact do you expect on students who rely on late buses?"
Why stronger: It names a decision, asks for criteria and asks for consequences.
Startup product launch
"Was the launch bad?"
"How did launch day go?"
"You promised a same-day support response but users reported 18-hour waits in the first week. What broke in your support model and what changes are in place before the next release?"
Why stronger: It anchors the question to a measurable claim and demands accountability plus a forward plan.
City transit delay report
"Why is transit always a mess?"
"What caused the delays today?"
"Riders were told there was a signal issue but internal alerts show two staffing gaps and one equipment fault. Which cause created the longest disruption and what can riders expect tomorrow morning?"
Why stronger: It tests an official explanation against specifics and asks for practical next-day impact.
Use this structure in your own reporting: specific evidence, clear accountability and concrete impact.