Diagnose Why Offers Are Being Declined
When to use it
Find the pattern behind a run of declines, rather than treating each one as bad luck.
The prompt
Help me work out why we're losing candidates at offer stage. DECLINES SO FAR: {{for each: role, level, the reason they gave, where they went instead if you know, time from first contact to offer, and who delivered the offer}} ACCEPTS IN THE SAME PERIOD: {{the same detail, so there's something to compare against}} OUR TYPICAL OFFER: {{comp structure and where offers sit in the band, level, remote policy, anything distinctive}} OUR PROCESS: {{number of stages and rough elapsed time from first contact to offer}} Tell me: 1. Whether there are enough declines here to see a pattern at all, before you look for one. 2. What, if anything, separates the declines from the accepts. Be honest if it's small-sample noise. 3. Which stated reasons are likely the real reason, and which are the polite version of something else. Candidates rarely say "your hiring manager put me off". 4. What in the process, as opposed to the offer itself, is most likely contributing: speed, the final-round experience, how the offer was delivered, or something that changed between screen and offer. 5. The one change most likely to move the accept rate, and how I'd make the case for it internally. 6. Five questions for future decline conversations that get a more honest answer, plus when they should be asked and by whom. 7. A simple log to keep from now on, so the next review runs on real data.
Tip
'It was a comp decision' is the most socially comfortable reason to give, so it's over-reported. If accepts don't improve after a comp change, the real cause was somewhere else.
How to use it
Paste the prompt into ChatGPT, Claude or whichever assistant you use, then replace every {{bracketed}} part with your own detail. The more specific and messier your input, the better the output — a model given raw notes has more to work with than one given a tidy summary you wrote first.
More Offers & Feedback prompts
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