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Blog AI & ML Every Call Has a Story.Here’s How to Read It.
Every Call Has a Story.Here’s How to Read It.

Every Call Has a Story.Here’s How to Read It.

A few guidance prompts. A few output fields. Structured insights from every conversation, without writing code or listening to a single call.

July 9, 2026 4 minute read

Table of Contents

Every Call Has a Story | Deep Prompt Series Paper 2 | SuccessKPI

Meet Deep Prompt

The brief you’d give your best analyst, applied to every call.

In Post 1, a telecom customer said “I’m done” and walked away while the analytics dashboard showed nothing. That was the problem. Deep Prompt is the solution.

It sits alongside Speech & Text in the SuccessKPI platform, but works differently. Instead of scanning transcripts for pre-defined phrases, Deep Prompt uses large language models to read the entire conversation and extract structured answers from within it. No code. No SQL. Plain English.

You configure it by defining two things:

Guidance

What to look for

One or more plain-English prompts describing the behavior, pattern, or question you want analyzed. You can add multiple guidance prompts to layer context. Think of it as the brief you’d give a senior analyst if they had time to listen to every call.

Outputs

What to return

Each output is a separate result the AI returns per conversation. Text outputs give you summaries, reasons, and classifications. Number outputs give you scores that can trigger Playbook automation: routing, alerts, escalations.

That’s it. Your guidance prompts. A few output fields. Deep Prompt runs your configuration against every conversation and returns structured, consistent results you can act on immediately.

What changes

Without Deep Prompt vs. with it

Without Deep Prompt
Analytics show high-level metrics: AHT, CSAT, call volume. No visibility into why individual calls go poorly.
Agents write their own call summaries. Inconsistent, time-consuming, impossible to standardize.
Evaluators manually sample a small fraction of calls. Compliance misses go undetected.
Same call type gets labeled differently depending on the agent, making reporting unreliable.
With Deep Prompt
Explore specific moments inside any call: how an agent handled a complaint, the customer’s tone, whether empathy was expressed.
Deep Prompt generates structured, consistent summaries in seconds, based on criteria you define.
Every call analyzed continuously. Negative sentiment, compliance misses, and coaching gaps surface automatically.
Disposition codes recommended from the transcript. Standardized tagging across every interaction.
<3%
of calls reviewed by supervisors on average
100%
of calls Deep Prompt can analyze, consistently
0
lines of code required to get started

Common use cases

What contact center teams use it for

Each panel shows the guidance prompts that tell the AI what to look for, and the output fields that define what gets returned per conversation.

Select a tab to explore

Interactive demo

See how it’s built

Write guidance, define your outputs, see structured results. In the actual platform, you run this against a real conversation ID from your call data.

Playbooks › Deep PromptCreate
Home
Analytics
Evaluations
Playbooks
Work
My Space
Create Deep Prompt
About this simulator: This reflects the concept of Deep Prompt. The real platform runs your configuration against actual conversation IDs from your own call data.
Start from an example
Outputs — each row is a separate result the AI returns per conversation
Results

What happens next

Where results go

Once Deep Prompt runs on live conversations, results connect to three places in the platform.

📊
Analytics dossier

Every output lands in a dataset. Build dashboards, filter by agent or date, drill into individual conversations.

Playbook automation

Number outputs can trigger automated actions: evaluation routing, email/SMS alerts, AWS Lambda functions.

📋
Custom reports

Combine Deep Prompt outputs with call metadata for purpose-built reports any team can use.

Only number outputs can trigger Playbook automation. If you need a score to trigger routing, alerting, or escalation, configure that output as a Number type.