Zendesk
Zendesk captures tickets from email, web forms, chat, messaging and voice, along with users, organizations, satisfaction ratings and ticket metrics such as reply and resolution times. In the Lake, ticket history joins revenue, product usage and engineering data, so support leaders can put a cost on each recurring problem and show which fixes would pay back.
- Category
- Support & Feedback
- Type
- Help desk
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key, OAuth 2.0
- Docs
- Zendesk API docs
02Data
What you can sync.
- Tickets
- Users
- Organizations
- Satisfaction ratings
- Ticket metrics
Join Zendesk tickets with orders and accounts, so service quality shows up next to revenue and churn.
Need more? Name any other Zendesk data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
- OAuth 2.0 (client ID, client secret, refresh token)
Zendesk uses an API key or OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Zendesk if you need help.
04Questions
Questions you can answer.
Once Zendesk data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which organizations open the most tickets per seat, and what is their annual revenue?
- What share of tickets get a first reply within the SLA, by channel?
- Which ticket tags have the lowest satisfaction ratings?
- Do customers with a solved ticket rated bad churn faster?
05How it works
How it works in DataMind.
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Pick Zendesk.
Open Lake, pick Zendesk in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Zendesk API docs.
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Answer a few questions.
The AI reads the Zendesk documentation, then asks which credentials you will use, which data to sync (for example tickets and users), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Zendesk data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Zendesk.
Sources teams join with Zendesk in the Warehouse, each one connected the same way.
