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How (and Why) Postman Created a Data-Driven Hiring Process
An effective hiring process is one of the most crucial parts of scaling an organization. Especially when a company scales at least 10 times its size, it needs to figure out how to evolve various processes and practices while still staying true to its values. Postman has always been committed to hiring the highest-quality talent, but we didn’t always do it in the most efficient way. This blog post will show how we have addressed the hiring scaling problem with analytics and systems thinking.
At the end of the day, it all comes down to solving a problem with constraints-process, people, and tools. By implementing a hiring maturity model and using actionable metrics, we’ve been able to have a predictable timeline from interview to hire. This has helped Postman’s entire talent acquisition team plan and manage its pipelines proactively-ultimately fast-tracking the hiring process to secure desired candidates as our organization rapidly grows. Here’s how we’ve optimized our hiring process.
The starting ingredients
In order to create an efficient scaling policy, we first needed observability into what was happening in the now. Leveraging our in-house data team’s commitment to data democratization, we decided to bring in two different perspectives:
- A view from external observers about how they would perceive the problem statement
- Tools and expertise to mine data once given the problem statement
