AI search & match that beats human recruiters.

The entire matching protocol is a multi-step process that Simply follows in order to match candidates to vacancies. It consists of a must-have knockout round, a requirements & wishes scoring round, a weighted formula ranking, and a final AI-powered re-ranking to catch any nuances.

When analysing a vacancy, Simply identifies all of the different requirements and their importance. During the initial must-have knockout round, candidates that don’t have a specific must-have criterion are eliminated. Then, remaining requirements are given a score based on their importance. The more important a requirement is, the higher the score it provides. Candidates are then given a total score based on how well their skills and experience match the job’s requirements.

The weighted formula ranking is an optional setting inside each vacancy. When creating a job, recruiters can optionally tweak that job’s specific formula weights, to account for the hiring company’s preferences. For example, a company might place a higher importance on soft skills over hard skills, or the position might be hybrid, meaning location match is less important. By default all of the weights carry equal importance, but if changed, this will affect each candidate’s final score in the ranking accordingly.

Once a ranking has been made of the best fitting candidates based on pure logic objectivity, we then give Simply a final opportunity to evaluate the top 20 candidates and dive deeper into each of their specific profiles. Oftentimes, there are hidden nuances that affect a candidate’s suitability, that won’t be discovered by just looking at their skills. For example, in their initial intake meeting, a candidate may have indicated a strong preference to work in a certain industry, and if that matches the job’s industry, Simply can choose to add additional scoring to account for this. Every re-ranking decision is clearly explained and can be overridden by the recruiter.