Article: If we can measure, we can improve


Keeping up with the core philosophy of ‘helping people get jobs’, Indeed, a data driven organization believes that if ‘we are able to measure, we can radically improve lot of processes like hiring’.  Driven by the core principles of ‘innovation and serving job seekers first’, Indeed strongly believes in ‘being open to new ideas and making decisions based on measurement and not on the gut feelings. Michael Miller, Product Director, Indeed, divulged more details on how by leveraging on technology and measurement, they came up with the product that made the hiring process more efficient. 

 Michael presented a case study wherein as a part of Indeed’s R&D initiatives, an experiment was conducted – some hundreds of recruiters and hiring managers were gathered to discuss the nature of the hiring process. They dissected and elaborated on ‘what goes into the hiring process and what are some of the elements which are most time-consuming and if there is a way to minimize recruiters’ and hiring managers’ time and efforts while conducting the process. They came up with the chart which enlisted all the steps and activities which goes into the hiring process. They also ascertained how much time team members are spending on each activity. Herewith presenting the key findings of the experiment.

The experiment revealed that the three major activities, namely, Sourcing, Passive profile review and Phone screen were taking most of the recruiters’ time.  Reviewing was taking almost 35% of their time while phone screen was taking almost 31% of their time. It came out that passive sourcing was turning out to be highly inefficient- only 19% hiring happened out of 80% passive candidature. Indeed’s belief that ‘data is the antidote to certainty’ proved helpful and they stopped passive sourcing and focused more on the active sourcing which resulted in 27% reduction in total requisition time and 95% jobs were filled.

Study also revealed that reviewing as one of the steps was not yielding greater benefits- on an average out of 70 candidates only 15% of the candidates were moving forward to the next step. To overcome this challenge, Indeed leveraged on data (resume + job description + actions) and built a predictive model which led to more positive interactions with the potential candidates. It resulted in 31% increase in the process and 13% reduction in time and efforts.    

The last step ‘phone screen’ was proving to be time-consuming- it was taking around 20-22 mins to interview some eight candidates and it was just a simple interview with basic questions around experience and salary etc.  To fix this challenge, Indeed came up with a fully automated system wherein candidates can apply and be interviewed automatedly. The automated system was efficient in carrying out the basic interviews and in this process also kept the candidates motivated. This transformation resulted in 60% completion rate and saw an increase in response rate by 50%. It also resulted in 49 % reduction in the total time spent. 

By focusing on these elements, the entire initial process of recruiting process could be made more efficient.  It proved to be highly beneficial even for the hiring managers wherein with the help of ‘one click submit’ automated system the entire process was reduced to zero day from the whopping 3.5 days. It also led to 4X improvement in recruiter efficiency and 8X increase in hires. 

It was seen that by leveraging on technology, data, and measurement, enormous improvements can be brought about in any system.  The need is to keep innovating and keep measuring to resurrect processes and systems which consume our time and efforts. After all, if we can measure, we can improve.   



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