> ## Documentation Index
> Fetch the complete documentation index at: https://docs.alvahq.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Call Outcomes & Insights

> Track how every call went, and let Alva turn the conversation into CRM intelligence.

Logging an outcome takes a second, but it's what keeps your pipeline honest — and it's the trigger for Alva to read the call back and pull out everything that matters. Every recorded call is analysed automatically, so commitments, next steps, and buying signals land in your CRM without you writing a single note.

## Call outcomes

When a call ends, you choose an outcome that describes how it went. Alva comes with a standard set out of the box:

| Outcome                  | Type         |
| ------------------------ | ------------ |
| No Answer                | Negative     |
| Engaged / Busy           | Negative     |
| Voicemail                | Neutral      |
| Gatekeeper               | Neutral      |
| Pitched – Not Interested | Negative     |
| Pitched – Interested     | **Positive** |
| Callback Requested       | **Positive** |
| Not a Relevant Contact   | Neutral      |
| Wrong Number             | Neutral      |

Outcomes are colour-coded so you can read a call list at a glance, and positive outcomes feed the **Pitches** counter in [calling sessions](/calling/calling-sessions) and your reporting.

Each outcome you log also creates an activity on the contact, company, and (where relevant) deal timeline — so the call shows up in the full history alongside emails and meetings.

<Note>
  Admins manage outcomes in **Settings → Telephony**. You can reset to the standard set at any time.
</Note>

## AI call analysis

Whenever a call is recorded and transcribed, Alva analyses the conversation in the background and extracts structured insights from what was actually said.

### What Alva pulls out

* **Summary** — a short, plain-English recap of the call
* **Sentiment** — whether the call was positive, neutral, negative, or mixed
* **Buying signals** — moments that suggest the prospect is interested or moving forward
* **Risk signals** — anything that suggests the deal could stall or go cold
* **Objections** — concerns the prospect raised
* **Next steps** — anything that was agreed
* **Commitments** — promises made on the call, split into things you committed to the prospect and internal follow-ups for your team

### Where the insights appear

The analysis flows straight into the rest of Alva, so the call becomes part of your live pipeline intelligence:

* The **summary** is posted to the contact, company, and deal timelines as a call activity, so anyone on the team can catch up in seconds.
* **Commitments** become tracked action items on the related deal, company, or contact — and surface in [Focus](/getting-started/focus) so nothing slips.
* **Buying and risk signals** feed the deal's intelligence, sitting alongside the signals Alva picks up from [email analysis](/email/understanding-email-analysis) for a single view of deal health.

<Tip>
  Because Alva captures commitments and next steps for you, you can stay fully present on the call instead of scribbling notes — then review what was promised the moment you hang up.
</Tip>

## Billing

The AI analysis of each call uses a small amount of credit, shown as a **Call Analysis** line in **Settings → Usage**, alongside the voice, recording, and transcription costs of the call itself.
