Skip to main content

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 doesn't predict the final outcome of the deal, the hire or the support case: it evaluates whether that specific conversation had the elements to move the process forward.

diio generates it automatically when analyzing each conversation, as long as the applied playbook includes this field.

What factors influence it

diio builds the Success Prediction from two inputs, both taken from the conversation itself:

  • 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).

  • The conversation objective. What was sought at that stage according to the playbook: first contact, proposal presentation, closing, and so on.

It doesn't use information from outside the conversation (for example, prior data about the account or the counterpart).

What each score means

diio assigns a score from 1 to 5, shown with 5 dots. Only the two highest scores display a badge:

  • 5 – Excellent. The conversation had very positive signals: a clear need, active interest and a concrete next step agreed on.

  • 4 – Good. There is progress, but some important element was left unresolved: an unhandled objection, an ambiguous next step.

  • 3 to 1 (no badge). The lower the score, the less the conversation advanced: from general interest with no clear commitments or signs of urgency, down to no progress at all due to resistance, lack of interest or a mismatch between the offer and the need.

Where it appears and how to read it

The Success Prediction is shown in the top block of the conversation detail view, right below the header. The dashboard shows the average for the period, also broken down by executive.

Below the score, diio shows a short paragraph justifying the prediction. That text summarizes the factors that weighed most: positive signals from the other party, quality of the discovery done, clarity of the next step and any risk identified. It's often more useful than the score alone, because it tells you what to correct.

How to use it to prioritize

  • Score from 1 to 3: high follow-up priority. The conversation has elements that may require corrective action or more information before the next step.

  • Score of 4 or 5: the process is progressing well and follow-up can be more standard.

How that plays out depends on your operation:

  • In sales: prioritize which prospects to follow up first based on the quality of the discovery conversation.

  • 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 wasn't satisfied with the resolution.

Did this answer your question?