Integrations · Chatbots and voice agents
Microsoft Bot Framework + Dimension Labs
Every Microsoft Bot Framework conversation, read and tagged, then joined to what customers did next. Ask why a number moved and get the answer with the evidence attached.
SourceMicrosoft Bot Framework
Typical databot activity and conversation logs
How it connectsAPI connection, scheduled export or file upload
Joins toCRM, orders, usage, renewals and anything in Snowflake, Databricks or BigQuery
1
Connect Microsoft Bot Framework
Bring in history and keep it current. Backfill years of conversations in the first run.
2
Every record gets Dimensions
Intent, root cause, effort, churn risk and any field you describe in plain English, on every conversation. No sampling.
3
Ask why
The agent joins Microsoft Bot Framework data to your business outcomes and returns findings with effect sizes and confidence intervals.
Questions teams answer with Microsoft Bot Framework data
- Where does the bot fail, and what does it cost?
- Which intents should be automated next?
- What do customers say right before they ask for a human?
More in chatbots and voice agents
Dimension Labs/Start with one file From $299 a month
Stop reporting. Start understanding.
Start with one file. Ask why a number moved. Plans from $299 a month, no demo and no contract on monthly plans.