Interview Drills — Sales Metrics & Process

Open-ended interview questions. Each has a Framework (the structure a strong answer follows), a Model answer (a concise example), and a Rubric (what an interviewer listens for). Sales interviewers test whether you're numbers-fluent: can you explain the funnel, work backward from a quota, read a win rate, and find a leak. Practice thinking aloud and always show your arithmetic. The app can role-play these as mock interviews (see mock-interview.md).

The universal metrics structure: State the goal/number → name the stages or inputs → do the math out loud (work backward or compute the rate) → interpret what the number means → name the lever you'd pull. Use it on almost any "explain/calculate/diagnose" question.

D1

difficulty: easy
concept: sales-process-and-pipeline Walk me through the sales pipeline. What are the stages, and what makes it a "funnel"?
Framework: Name the stages in order → explain that it's a funnel because deals drop off at each stage → say what the rep's job is at each step (move the deal forward with a clear next action) → tie it to why you must keep the top full.
Model answer: "A deal moves: lead → qualified opportunity → discovery → demo → proposal → negotiation → closed won or lost. It's a funnel because many leads enter the top and fewer survive each stage — maybe 100 leads become 25 opportunities become 5 closed deals. So the rep's job is two things: drive each live deal to its next step so it doesn't stall, and keep enough new leads entering the top that drop-off still leaves me at quota. That's why prospecting never stops even when I'm busy closing."
Rubric: Strong answers list the stages in the right order, explain why it narrows (drop-off), and connect funnel shape to keeping the pipeline full. Weak answers list stages as a flat checklist, miss the drop-off concept, or can't say what the rep actually does to move a deal.

D2

difficulty: medium
concept: quota-and-metrics Your annual quota is $600K. Average deal size is $20K and your historical win rate is 25%. Work backward to the activity you need.
Framework: Quota ÷ deal size = deals to close → deals ÷ win rate = opportunities needed → apply the meeting→opp and outreach→meeting rates to get meetings and outreach → divide by the working period to get a weekly/daily target → sanity-check it's achievable.
Model answer: "$600K ÷ $20K = 30 deals to close. At a 25% win rate I need 30 ÷ 0.25 = 120 qualified opportunities for the year. If roughly 1 in 3 first meetings becomes an opportunity, that's ~360 meetings; if 1 in 20 outreach touches books a meeting, that's ~7,200 touches. Across ~48 working weeks that's about 2.5 opportunities and 150 touches a week. I'd then sanity-check: is 150 quality touches a week realistic for my segment, or do I need bigger deals or a better win rate instead of just more volume?"
Rubric: Strong answers chain the math cleanly (quota→deals→opps→meetings→outreach), state their assumed conversion rates, reduce it to a weekly cadence, and pressure-test feasibility. Weak answers stop at "I need more meetings," fumble the arithmetic, or never convert the annual number into a daily/weekly habit.

D3

difficulty: medium
concept: quota-and-metrics What's the difference between win rate, stage conversion rate, and pipeline coverage? When would you look at each?
Framework: Define each precisely → say what unit each is measured on → explain the decision each one drives → note how they relate (coverage protects you against low conversion).
Model answer: "Win rate is the % of qualified opportunities that close won — it tells me how good I am at running and closing deals. Stage conversion is the % that move from one specific stage to the next — e.g., demo→proposal — and it localizes where deals die. Pipeline coverage is total open pipeline value ÷ remaining quota — usually you want 3–4x because of drop-off. I look at win rate to judge my closing skill, stage conversion to find the leak, and coverage at the start of a quarter to know if I even have enough at-bats to make the number. If coverage is 2x with a 20% win rate, I'm in trouble before I've run a single deal."
Rubric: Strong answers define all three without conflating them, attach each to a decision, and know coverage is a multiple of quota (and why >1x). Weak answers blur win rate and conversion, can't say why coverage exceeds 1x, or treat them as interchangeable vanity numbers.

D4

difficulty: medium
concept: quota-and-metrics A candidate sees a job posting with "$240K OTE, 50/50 split." Explain what that means and what you'd ask before accepting.
Framework: Define OTE → break it into base and variable using the split → explain that OTE assumes 100% of quota → list the questions that determine whether the OTE is real (quota size, ramp, attainment rate, accelerators, draw).
Model answer: "OTE is On-Target Earnings — total pay if I hit 100% of quota. A 50/50 split means $120K base and $120K variable commission, where the $120K variable only fully materializes if I hit quota. So I'd ask: what's the quota, and is it realistic? What % of reps actually hit it last year — if only 30% do, the OTE is mostly fiction. Is there a ramp period with reduced quota? Are there accelerators above 100%, so over-performance pays outsized? And is the base a true base or a recoverable draw I'd have to pay back? Those answers tell me whether $240K is likely or aspirational."
Rubric: Strong answers correctly decompose OTE into base + variable via the split, stress that OTE is conditional on attainment, and ask about team attainment rate, ramp, accelerators, and draw. Weak answers think OTE is guaranteed salary, can't split it, or don't probe whether the number is actually achievable.

D5

difficulty: hard
concept: quota-and-metrics Here's a rep's funnel for the quarter: 200 meetings → 80 opportunities → 60 demos → 12 closed won. The team average converts demo→close at 40%, but this rep is at 20%. Diagnose the leak.
Framework: Compute the conversion rate at each stage → compare to benchmark to localize the leak → form a hypothesis about the cause at the leaking stage → name what you'd inspect to confirm → propose a targeted fix (not "do everything more").
Model answer: "Meeting→opp is 40% and opp→demo is 75% — both fine. The leak is demo→close: 12 of 60 is 20%, half the team's 40%. The top of the funnel is healthy, so the problem isn't prospecting or volume — it's late-stage. My hypotheses: weak discovery, so demos aren't tied to a real pain or a true decision-maker; no clear next step or champion; or pricing/objections mishandled at proposal. I'd confirm by reviewing the lost-deal notes and listening to a few demo recordings. The fix is targeted: tighten qualification before the demo and customize each demo to the pain surfaced in discovery — not 'book more meetings,' which would just pour more water through the same leak."
Rubric: Strong answers compute each stage rate, isolate the single leaking stage by benchmark comparison, resist the urge to fix volume, and propose a cause-specific remedy with a way to confirm it. Weak answers say "convert more" everywhere, fix the wrong stage, or jump to a solution without diagnosing the cause.

D6

difficulty: hard
concept: quota-and-metrics Two reps both hit 100% of a $500K quota. Rep A closed 5 deals at a 40% win rate; Rep B closed 50 deals at a 10% win rate. As their manager, what do the numbers tell you, and what would you coach each on?
Framework: Read what each metric profile implies (deal size, segment, motion) → identify each rep's risk or weakness behind the same headline number → tailor coaching to the actual constraint → note what would break each rep's quarter.
Model answer: "Same revenue, totally different machines. Rep A runs few large deals with a strong 40% win rate — high skill, but high concentration risk: lose one deal and the quarter swings hard, so I'd coach pipeline coverage and parallel deals to reduce single-deal dependence. Rep B runs high-volume, low-win-rate transactional deals — the 10% win rate says discovery or qualification is weak, burning time on poor-fit deals, so I'd coach qualifying out earlier to lift win rate and protect their time. I'd also check sales cycle and activity: Rep B's volume may not be sustainable. Identical attainment, opposite coaching — that's why you never stop at the headline number."
Rubric: Strong answers infer the underlying sales motion from win rate and deal count, name the specific risk hidden behind equal attainment (concentration vs. inefficiency), and give each rep a different, cause-matched coaching action. Weak answers treat both as equally successful, give generic "sell more" advice, or never read past the 100% headline.