Documentation Index
Fetch the complete documentation index at: https://docs.oneperfectslice.ai/llms.txt
Use this file to discover all available pages before exploring further.
How it works
Classification is fully AI-powered. No rules to maintain, no manual tagging.- The transcript is analyzed by AI alongside your team’s configured call types
- A primary type is assigned (required), plus an optional secondary type
- An AI-generated title is created for the call
- A rationale explains why the call was classified that way
System call types
OnePerfectSlice includes 11 built-in call types, each with its own summary and scorecard template:| Call Type | What the summary surfaces |
|---|---|
| Discovery Call | Pain points, decision criteria, budget signals, timeline, competitive landscape, buying team, and next steps |
| Demo Call | Feature reactions, pain-to-feature mapping, objections addressed, concerns, and next steps |
| Customer Growth Call | Expansion signals, growth obstacles, stakeholder dynamics, competitive signals, and enablement needs |
| Customer Follow-Up Call | Momentum, remaining obstacles, stakeholder dynamics, and follow-up actions |
| Renewal Call | Renewal signals, churn risks, value anchoring, competitive signals, and enablement needs |
| Onboarding & Training Call | Training objectives, topics covered, key learnings, engagement level, and follow-up items |
| Support Call | Support risks, feature gaps, workflow fit, resolution signals, and enablement needs |
| Internal Strategy Call | High-level business planning and positioning |
| Internal Execution Call | Day-to-day operations, process improvements, and tactical planning |
| Internal Coordination Call | Post-engagement alignment and internal action items |
| Miscellaneous Call | General-purpose summary for calls that don’t fit other categories |
Why it matters
Without classification, every call gets the same generic treatment. With it:- Summaries are tailored — a discovery summary surfaces different context than a demo summary
- Scorecards are relevant — reps are evaluated against criteria that match the type of conversation they’re having
- Patterns emerge — compare discovery calls to discovery calls, not discovery calls to proposal calls