# Next steps

Where to go after your first session lands — identify users, send events, plug in a framework, explore the dashboard.

You've sent a session and confirmed it landed. Pick whichever direction is closest to what you actually need to do next.

## Identify your users

Attach a `user_id` (and optionally name/email) to every session. This unlocks user-level analytics: per-user journeys, retention, and segmenting issues by user cohort.

→ [Identify users](/docs/instrument/identify-users.md)

## Send custom events

Emit domain events from your code — `feedback.positive`, `order.placed`, `agent.goal.achieved` — so the dashboard can correlate them with the traces around them.

→ [Custom events](/docs/instrument/custom-events.md)

## Report your own scores

Already grading your agent with an eval harness, an LLM judge, or a human reviewer? Send those numbers to Brizz and they become real metrics — badged on the session and filterable ("every conversation my judge scored below 0.6").

→ [Record metrics](/docs/instrument/record-metric.md)

## Connect a framework

Already using LangChain, the Vercel AI SDK, Agno, Strands, or LiveKit Agents? The auto-instrumentation gives you native span shapes for each. Skim the relevant guide to make sure you're wired up correctly.

→ [Choose your SDK](/docs/sdks.md)

## Browse the platform

Curious what the dashboard actually shows? Start with the five things worth looking at in your first week.

→ [Platform overview](/docs/platform.md)

## See also

- [Sessions (instrumentation)](/docs/instrument/sessions.md) — enrich sessions with metadata, manual input/output, title generation.
- [User feedback](/docs/instrument/user-feedback.md) — capture thumbs-up/thumbs-down and filter sessions by sentiment.
- [PII & privacy](/docs/instrument/pii-and-privacy.md) — mask sensitive data before it leaves your infrastructure.