I just spent the past year on the job market and I noticed how little signal we actually get from interviews. The video call ends, I turn off my camera, and then... nothing. If I'm moving forward, I usually hear within a day. If I'm not, it's days of silence that eventually turn into a form rejection, or no response at all. Either way, no feedback on what worked, what didn't, or whether the conversation went the way I thought it did. I started recording my interviews on my phone, transcribing them, and pasting the transcripts into the LLM trifecta (ChatGPT, Claude, Gemini) to compare their analysis. I wanted something more objective than my own perspective, particularly during the waiting period between rounds. Executive presence was the dimension I most wanted external input on. It's not something we can self-assess accurately, and yet it's often the deciding factor in senior rounds. The workflow was useful but tedious. Three different models, three different formats, no consistent rubric. What I realized in the process is that we don't actually have a reliable feedback loop on our interview performance. Our memory of an interview isn't neutral. Adrenaline edits it, hope colors it. The hiring decision isn't reliable either. It's a noisy signal shaped by internal candidates, budget shifts, culture fit, factors that have nothing to do with how we performed. Between unreliable memory and unreliable outcomes, we have almost no honest feedback. That's the gap I built Debrief to fill. Paste an interview transcript and get a structured analysis in minutes: STAR scoring per answer, executive presence dimensions, performance tracking across multiple rounds. The rubric is informed by I/O psychology research. Android available now. iOS coming soon. First report is free. Feedback welcome if you want to put it through its paces.

Debrief

Post-interview analysis for real interviews.

Post-interview analysis for real interviews.