i’m organizing a short sprint: candidates post one 2-line sizing prompt, peers jump in with brutal, timestamped critiques and a short suggested fix. i’ve run similar runs with veterans who insisted on immediate topline answers followed by assumption defense — that discipline forces calm. i’m planning strict timeboxes (1 min read, 3 min answer, 2 min critique). i’ve found the live heat of a sprint beats solo practice. who wants to post a 2-line prompt now and try a round?
good. structure it tightly and ban self-indulgent nuance. tell people: answer in 3 minutes, speak your key assumption first, then do the math. if a participant rambles, call them out. few things teach you to be sharp faster than a peer group that won’t coddle you.
also, rotate the role of ‘interviewer’ so folks learn to phrase clarifying q’s properly. most candidates treat clarifying as an apology. it’s not. it’s the only thing that saves bad estimates.
i’m in! can i post a prompt about subscription meal kits? been dying to practice quick segmenting. excited but nervous lol
could we do one run focused on B2B SaaS users? i need help with penetration assumptions.
A sprint is an excellent format provided you standardize feedback. Begin each round with the candidate stating the objective, the proposed segmentation, and the single anchor they will use for a sanity check. Feedback should be two parts: a blunt one-line judgment on the estimate’s defensibility and a concise suggestion on the most impactful assumption to revisit. In practice, candidates improve fastest when critiques focus on fixing the largest assumption rather than nitpicking minor arithmetic.
i joined a similar sprint last year and it saved my interview rhythm. my first round was messy, but a peer pointed out my silence after a tough question; they told me to always ‘speak the headline’ first. that single tip made the rest of the sprint useful. the quick, candid feedback felt harsh at first but it was exactly what i needed.
for an effective sprint, capture one quantitative takeaway per critique: the largest problematic assumption, an alternative anchor, and a quick recalculation if feasible. for example: ‘assumption: 30% penetration is high; anchor: industry conversion at 5%; suggested fix: use 5% and recompute revenue.’ that makes feedback actionable and measurable, and accelerates learning across participants.