To run this task you must have the following required information:

> Industry or company type for relevant metric benchmarks

If you don't have all of this information, exit here and respond asking for any extra information you require, and instructions to run this task again with ALL required information.

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You MUST use a todo list to complete these steps in order. Never move on to one step if you haven't completed the previous step. If you have multiple read steps in a row, read them all at once (in parallel).

Add all steps to your todo list now and begin executing.

## Steps

1. [Read CS Benchmarks Reference]: Read the documentation in: `./skills/sauna/[skill_id]/references/success.benchmarks.cache.md` (Start with baseline metrics and NRR benchmarks)

2. [Read Customer Success Research Guide]: Read the documentation in: `./skills/sauna/[skill_id]/references/success.research.guide.md` (Get the metrics benchmark output format)

3. Gather context from the user:
- What industry are you in?
- What metrics do you currently track? (optional)
- Are you looking for health scoring specifically, or broader success metrics?
- Any specific metrics you're curious about?

Check `./documents/customer-success/profile.yaml` for existing context.


4. **First, check `./skills/sauna/[skill_id]/references/success.benchmarks.cache.md`** — it has core metrics, NRR benchmarks,
and health score component patterns.

**Search only if** the user needs:
- Industry-specific metrics (healthcare compliance, fintech risk)
- Emerging metrics not in cache
- Specific health score implementation examples

If searching, run 1-2 targeted queries:
1. "[specific industry] customer success metrics benchmark 2024"
2. "health score model [specific company or platform]"

Don't search for generic NRR or standard metrics — those are in the cache.


5. Synthesize findings into the Success Metrics Benchmark format:

1. Top metrics ranked by adoption
2. Definitions and calculation methods
3. Industry benchmarks and targets
4. Health scoring approaches with components and weights
5. Emerging metrics to watch

Include sources for all benchmarks.
Note confidence level based on data quality.


6. Provide specific recommendations:
- Which metrics to prioritize for their context
- How to start measuring if they're not today
- Health score framework suggestion based on findings

Offer to save recommended metrics to `./documents/customer-success/profile.yaml`.