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DIRI AI
Sample post-call report

Not a score without context. Specific moments from the conversation.

A report should improve the next attempt, so it shows what was said, how it affected the conversation and what to try next.

Start at your own pace. Your evaluation appears when the call is complete.

A model example of the same fictional conversation at a first attempt and after regular practice. Individual results vary.

DIRI AI

Training call result

Needs discovery · sceptical operations manager
Overall score44/100out of 100
Call goalNot achieved

Agree a 20-minute follow-up with the person responsible for implementation.

Customer outcomeNo follow-up agreed

The customer asked for information by email but did not agree to a meeting. Her implementation concern was left unexplored.

Skills that shaped the outcome

The report connects each skill to the fictional conversation shown here.

Needs discovery42/100

The handover problem surfaced, but its impact was not explored.

Active listening51/100

The concern was heard but not reflected back.

Objection handling38/100

Reassurance came before a clarifying question.

Next step43/100

No time or purpose for a follow-up was agreed.

Key strengths

The report does not label a person. It shows specific behaviour and its effect on the conversation.

The customer named a real problem

One question gave her room to describe lost requests and poor visibility.

“Requests get lost between teams and I cannot see where they are waiting.”

Biggest opportunities to improve

The two changes with the greatest impact on the next attempt.

Ask about impact before presenting

After the customer described lost requests, the reply jumped to a product claim without asking how the delays affect her team.

01:54 · the reply moved straight to a solution

Clarify the implementation barrier

The customer raised capacity concerns. A generic reassurance did not reveal whether time, migration or IT approval was the obstacle.

03:08 · the concern remained unspecified

Objection handling

The report separates acknowledging, clarifying, answering and checking the concern with the customer.

Customer objection · 03:01
“But we cannot take on another tool right now.”
StatusNot resolved
What worked
You responded to the concern, but did not clarify it.
What was missing
No question identified the specific implementation barrier, and the customer declined a meeting.
Original phrase

“Implementation is usually quick, so you do not need to worry.”

A concrete better phrase

“I understand. Which part is hardest for you: team capacity, data migration or IT approval? That will tell us whether a follow-up is worthwhile.”

The question makes the concern specific before any claim about the solution or next step.

Short annotated transcript

Every conclusion traces back to a specific turn, not only to an overall score.

  1. You

    What makes manual request handovers most difficult for you today?

  2. Customer

    Requests get lost between teams and I cannot see where they are waiting.

  3. You

    Our tool makes handovers much faster.

  4. Customer

    But we cannot take on another tool right now.

  5. You

    Implementation is usually quick, so you do not need to worry.

  6. Customer

    Send me something by email. I cannot book another meeting now.

What to practise next

The recommendation follows the weakest decisive moment in this call.

Recommended scenarioImplementation concern without pressure · difficulty 3
  1. 1Ask how lost requests affect the team before presenting a solution.
  2. 2Clarify which part of implementation is the barrier.
  3. 3Offer a small follow-up only if the customer sees a reason for it.

This sample uses an entirely fictional scenario and transcript. AI reports support practice and coaching; they do not make automated decisions about people.

Want the same analysis for your own practice call?

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DIRI AI sample report | DIRI AI