The Taxonomy page is the source of truth for everything you see on Drivers, Overview, and Feedback. It’s a three-level catalog that classifies every conversation into a structured hierarchy.Documentation Index
Fetch the complete documentation index at: https://setup.cevro.ai/llms.txt
Use this file to discover all available pages before exploring further.
https://app.cevro.ai/insights/taxonomy
The Three Levels
Theme (top level)
The broadest grouping — operational area. Examples:- Payments
- Account & Security
- Bonuses & Promotions
- Game-Related
- Platform & Technical
- Support & Service
Need (middle level)
A category of player intent within a Theme. Examples (under Payments):- Withdraw funds
- Make a deposit
- Update payment method
- Reverse a transaction
Problem (leaf level)
The specific failure mode or scenario. Examples (under “Withdraw funds”):- Withdrawal blocked by KYC verification
- Withdrawal pending more than 72 hours
- Withdrawal rejected by payment provider
- Player can’t find withdrawal page
The Page Layout
Three columns, left to right:| Column | Shows |
|---|---|
| Themes | All Themes in your workspace with ticket counts |
| Needs | When a Theme is selected — its Needs with a health dot |
| Problems | When a Need is selected — its Problems |
Health Indicator
Each Need row has a colored dot:| Indicator | Means |
|---|---|
| Green | Healthy |
| Amber | Watch — confidence dropping or volume spiking |
| Red | Attention — low confidence or anomaly detected |
- The taxonomy needs updating — emerging patterns aren’t covered, so tickets land here with low confidence
- A real production incident — a sudden spike in volume on a previously stable Need
Working with Nodes
Creating a node
Drill to the right level
Themes are top-level. To add a Need, first click a Theme to select it. To add a Problem, first click a Need.
Fill in the fields
- Name — short and descriptive (3–100 characters), unique within the parent
- Description (optional) — short internal note
- Example phrases — Problem only. 3–10 phrases of what players might say, one per line, each 10–500 characters. These teach Cevro what conversations belong here.
Editing a node
Hover any row → click the pencil icon. Edit the same fields. If you change Example phrases on a Problem, Cevro re-learns the pattern automatically on save.Archiving a node
Hover → click the archive icon. Archived nodes:- Stop accepting new ticket classifications
- Are hidden from default views
- Reappear when Show archived is toggled on
- Can be restored at any time with the restore icon
Discovery Suggestions
Cevro continuously scans tickets that didn’t match any existing Problem confidently. When it spots a recurring pattern, it appears as a TaxonomySuggestion in the Discovery panel at the top of the page.Running discovery on demand
From the panel header:- Granularity —
broad,default, orgranular. Lower granularity finds smaller emerging patterns at the cost of more noise. - Days back —
1/7/30/90— how far back to scan for unmatched tickets
Acting on suggestions
Each suggestion shows the proposed name, description, parent Need, and example phrases. Available actions:| Action | What it does |
|---|---|
| Accept | Creates the node and reclassifies matching tickets. If no parent was inferred, opens the edit modal so you can set one first. |
| Edit | Tweak name / description / parent / examples before accepting |
| Merge | Fold the cluster into an existing Theme / Need / Problem |
| Dismiss | Clear from queue — may resurface in a future run if the pattern persists |
| Reject | Hide permanently — won’t be suggested again |
Tips
- Promote, don’t recreate. When you spot a recurring pattern, accept a Discovery suggestion or merge it — don’t hand-write it. The suggestions already have curated example phrases.
- Three examples is the floor. Below 3 phrases, classification gets noisy. The form enforces this.
- Watch the amber/red dots. They’re the cheapest leading indicator of taxonomy decay.
Related
- Drivers — the dashboard that visualizes this taxonomy
- Feedback — service-quality clusters, separate from the Drivers tree
- Overview — surfaces taxonomy-driven insights at the top level
- Topic Monitoring — predecessor concept, focused on AIP coverage