COLLABORATIVE DECISION-MAKING

  1. Use data to making great decisions
  2. Identify the best candidates
  3. Compare candidate profiles by scores

Use data to making great decisions

Simplicant’s quantitative approach toward evaluations and employee scorecards allows you to implement data-driven recruiting techniques effortlessly. Because Simplicant captures data at every stage of the interviewing process and makes it easily accessible to the entire team, decision-making is better and faster.

Identify the best candidates

When using a paper-based hiring process it is easy to lose track of candidates information or let applications slip through the cracks. Many organizations try tracking candidate information by using excel spreadsheets. Some collect candidate resumes and emails in their mailboxes. However, the problem is that such methods make it really difficult for companies to find the relevant information when they really need it. With Simplicant, all candidate information is nicely organized in one cloud-based platform. This well-organized and structured data can be accessed collaboratively from anywhere and at any time, so you can recognize top talent fast.

Compare candidate profiles by scores

Another important aspect of the interview process is to effectively compare and calibrate all the candidates that have been interviewed or short-listed. Once every candidate has gone through the interview process and has been evaluated using the standard scorecards, identifying top performers and making a decision is usually a collaborative and challenging process. Simplicant makes this process easier by providing a structure to the decision-making process, where input from multiple stakeholders and sources can be easily referenced to identify the best fit.  Simplicant further facilitates the action by generating a final evaluation score, which is accessible to all hiring team members. This way, short-listed candidates can be compared and ranked using objective and quantifiable criteria.

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