How a 15-person SaaS startup cut
time-to-offer by 61%
Three open roles. Over 200 applications. One founder personally doing every phone screen. This is how they went from a 3-week offer cycle to closing candidates in 8 days.
The situation
In April 2026, this Bangalore-based SaaS startup was growing quickly and needed to fill three roles simultaneously: a Product Manager, a Senior Backend Engineer, and a Customer Success Manager. Within two weeks of posting, they had received over 200 applications across the three roles.
The founder — who was also leading hiring — had been handling every first-round phone screen personally. Thirty minutes per call, back-to-back scheduling, and no consistent way to compare candidates. After three weeks, she had screened 22 people and still had 178 waiting. Two strong candidates had already accepted offers elsewhere while waiting to hear back.
Setting up Round1
The team set up Round1 on a Friday afternoon. The entire setup — AI agent configuration, job descriptions, Quick Apply links for all three roles — took under 45 minutes. By Monday morning, all three links were live and candidates were booking their own interview slots.
The AI was given the full job description for each role and set to probe for the specific skills each position required: system design thinking for the backend engineer, customer empathy and escalation handling for the CS manager, and product sense and stakeholder management for the PM.
"I spent 45 minutes setting up Round1 and it saved me 35 hours of phone screens. What surprised me most was how many candidates I would have advanced based on their CV — but the AI interview showed they couldn't actually explain their work."
— Founder, anonymous SaaS startup, Bangalore
What happened
In the two weeks after going live, 127 candidates completed their Round1 interviews. Each one received a full assessment report: overall score (0–100), a Strong Yes / Yes / Maybe / No recommendation, strengths, weaknesses, risks, and an AI integrity/suspicion score.
The founder's weekly review now took about 90 minutes instead of 15+ hours. She filtered by score ≥ 65, reviewed the 18 candidates who crossed that threshold, and moved 9 to a second-round technical conversation. Three candidates were flagged with suspicion scores above 60 — two of them had nearly identical phrasing across different questions, suggesting AI-assisted answers.
All three roles were filled within 8 days of final interviews — down from a 21-day cycle in the previous hiring round.
What made the difference
- Quick Apply links let candidates self-schedule — no back-and-forth emails, no dropped conversations
- Consistent AI questions meant every candidate was evaluated on the same criteria, regardless of when they interviewed
- The integrity score helped deprioritise candidates using AI to answer — something phone screens can't catch
- PDF reports meant the founder could share assessments with the relevant team lead in 30 seconds
Plan used
Round1 Starter — $49/mo · 200 credits · ~20 interviews