Case study: How Elephant Canvas found technical precision in a sea of noise
How Elephant Canvas used Kodiva to reduce technical screening effort by 70% and find stack-specific engineering candidates that LinkedIn and Naukri couldn't surface.
Divyansh, Operation Manager at Elephant Canvas, reduced technical screening effort by 70% using Kodiva’s deep stack filtering.
The problem of “generic reach”
Before using Kodiva, Divyansh struggled with a familiar but frustrating hiring issue: finding candidates who actually matched his technical requirements.
Like most teams, he relied on platforms such as LinkedIn and Naukri. While these platforms offered reach, they failed when it came to precision.
“Being a tech guy, I want someone to be master in a specific stack. It is hard to apply such filters on regular apps.”
Why they looked for a new solution
The client had already explored most regular market solutions available for hiring. While several platforms existed, none addressed the core problem of precision matching.
The need was clear:
- Fewer but more relevant candidates
- Better alignment between job requirements and candidate profiles
- Reduced manual screening
Without this, the hiring process remained inefficient and exhausting.
“Instead of speaking to 10 people, we talk to 2–3 candidates only and get the exact qualities we are looking for.”
Why Kodiva
Kodiva was introduced to Divyansh through one of the company’s co-founders. After a demo call and a brief walkthrough of the platform, the value was immediately clear.
“Just after one call, I could get into the platform because it actually solves the problem of recruitment.”
What stood out was Kodiva’s ability to:
- Filter candidates based on specific tech stack mastery
- Deliver accurate matches instead of broad results
- Directly solve the exact recruitment problem they were facing
After just one demo call, the client was confident enough to start using the platform.
Results
After adopting Kodiva, Divyansh observed clear improvements in both candidate quality and overall hiring efficiency.
“We see very clear improvements in the quality of the profiles when we jump into Kodiva. We get accurate matches.”
The biggest impact was on recruiter effort and time savings. Instead of having to speak with a large number of candidates to find a suitable fit, Kodiva significantly narrowed down the shortlist.
“We were able to close around 3 roles in roughly 3 weeks, which is significantly faster than the earlier process we were doing.”
This reduction in unnecessary conversations saved time and effort for the recruitment team, while increasing confidence in hiring decisions.
