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Wootric
Chat with Claude, ChatGPT, or any MCP client about your Wootric customer experience data using natural language. Ask which users haven’t provided feedback recently, analyze contact information coverage across your user base, or segment audiences by their last survey date without writing a single query. Product teams can investigate user retention patterns by examining last surveyed timestamps, while support managers identify gaps in contact details for critical accounts. Kondado exposes your Wootric pipelines through an open MCP server, turning complex customer data into simple conversations that drive immediate action.
Kondado replicates Wootric data to a structured destination and exposes it via an MCP server, enabling direct analysis in Claude, ChatGPT, or any compatible client through natural language chat. The pipeline includes 1 table with 22 fields covering end user profiles, contact details, and survey metadata. The same data also powers ready reports in Power BI and Looker Studio for visual monitoring.
Customer success managers and product analysts use this conversational access to identify at-risk accounts by asking which profiles lack recent survey activity, while marketing teams verify email and phone coverage for outreach campaigns. Operations leads query user counts by contact availability to prioritize data enrichment efforts before quarterly planning. Anyone in your organization can investigate engagement patterns, filter users by communication preferences, or check survey recency distributions through conversational questions rather than technical database tools.
The data structure below reveals exactly what you can query in conversational analysis. The End Users table contains 22 distinct fields capturing user identifiers, contact details including phone and email, and survey activity timestamps like last surveyed date. This single comprehensive pipeline enables you to query contact coverage gaps, analyze user engagement patterns by recency of feedback, and filter cohorts by communication channel availability directly through chat questions. You can investigate which user segments have complete contact information versus those missing phone or email data, identify disengaged customers who haven’t appeared in recent surveys, or count total reachable users by communication type. While Wootric provides this unified user view through one primary pipeline, you can combine these insights with other business data sources in your warehouse for broader customer context and cross-functional analysis. Updates proceed on a configurable schedule, ensuring your AI-driven customer experience investigations reference fresh, accurate information.
MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.
Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.
In 3 steps: connect on Kondado, pick dashboard or chat, analyze.
Connect Wootric as a data source on app.kondado.com.br and select a 'Via Kondado' destination so your user data lands ready for AI analysis and dashboard templates.
In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth, no CLI commands or code required.
Ask questions in natural language about your Wootric data via chat, or for recurring visual monitoring, open a ready Power BI or Looker Studio report template.
Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.
How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.
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