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How is the Success Prediction calculated?

The Success Prediction estimates the probability that a conversation will advance to the next step of the process. It does not predict the final outcome of the deal, interview, or support case, but whether that specific conversation had the elements to move the process forward.

What factors influence the Success Prediction

diio builds the Success Prediction from three inputs:

The playbook's success indicators. Each playbook defines which signals indicate the conversation went in the right direction (for example: the prospect expressed urgency, confirmed budget, agreed on a concrete next step).

Known information about the counterpart. Context about the company or person spoken with, if diio has prior data on that account.

The conversation objective. What was sought to be achieved in that instance according to the playbook (first contact, proposal presentation, closing, etc.).

How it is shown

In the detail view of each conversation, the Success Prediction appears with a four-level visual indicator: Excellent, Good, Average, or Low. Next to the indicator there is an explanatory text that describes which signals determined that level. In the dashboard the average for the period is shown by executive and by team.

How to use it to prioritize follow-ups

Low or Average Prediction: high follow-up priority. The conversation has elements that may require corrective action or more information before the next step.

Excellent or Good Prediction: the process is progressing well. Follow-up can be more standard.

In recruiting: an interview with a Low Prediction may indicate the candidate has unresolved doubts worth addressing before the next stage.

In customer support: a case with a Low Prediction may indicate the client was not satisfied with the resolution.

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