The problem
Indian professional modesty produces qualitative language: 'much better', 'significantly improved', 'greatly reduced'. The instinct is sound — precise claims feel like boasting, and round numbers feel like exaggeration. But US tech runs on metrics as the shared language of credibility. An interviewer comparing five candidates cannot rank 'significantly improved' against 'reduced by 40%'. The quantified candidate wins by default, even with objectively weaker work — because their impact is legible and yours is a vibe.
The key insight
Every engineering story contains numbers, even when nobody was dashboarding them: scale (requests/day, team size, money flowing through the system), time (how long before, how long after, how often), and proportion (what fraction of releases failed, what share of tickets this caused). Honest estimation is standard practice — 'roughly', 'about', 'from around three weeks to under one' are all credible. The rule: every story gets at least one number of scale and one number of change. If you genuinely can't find either, the story isn't interview-ready yet.
Before and after
Three honest, estimated numbers: scale (2,000 users), change (12s to 2s), and downstream proof (tickets to zero). None require a dashboard — just reconstruction.
How Arpan helps
Arpan gives you the feedback that solo practice can't. The free Diagnostic scores your answers across Ownership Language, Quantified Impact, STAR Structure, Conciseness, Engagement, and Professional Tone — the exact dimensions US hiring managers evaluate — and delivers word-for-word rewrites of every answer so you can see the gap clearly. Pro turns that into a practice loop: every answer rewritten across 25 voice interviews and 5 on camera over 90 days, pattern detection that surfaces which habits are costing you points, and your Cultural Readiness Score™ after every session, so you can see where the score moves.
FAQ
What if I genuinely don't remember the exact numbers?
Is it okay to use percentages without revealing confidential figures?
What metrics matter most for senior roles?
Get started
Hear yourself the way a US hiring manager does.
In 5 minutes, you will hear yourself the way a US hiring manager does. Pick from five interviewers — engineering managers at Big Tech, at Mid-size Tech, at a Series B startup, and at a Global Capability Center, plus an engineering director at a US tech company — then answer as many behavioral questions as the time allows. Arpan scores your answers across six dimensions, shows you exactly where each one lands, and gives you word-for-word rewrites of every answer so you can see the gap clearly. No payment, no commitment.
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