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Intelligent querying

Project Intelligence turns your project-management system from a passive data store into an active conversational partner. You can talk to the project in natural language, getting precise answers to complex questions about the state of things.

Query capabilities

The system can handle a wide range of queries: from simple facts to in-depth analysis.

1. Status and progress queries

Instead of manually checking dozens of tasks, you can ask:

  • "What stage is the development of the payment module at right now?"
  • "How many issues from sprint #15 have not yet been moved to the 'Done' status?"
  • "Are there any tasks that have been stuck in the 'In Review' status for more than three days?"

2. Finding dependencies and blockers

The AI analyzes the links between tasks and reveals hidden problems:

  • "Which issues block the completion of the epic 'Payment gateway integration'?"
  • "If we move the deadline for issue X, which other issues will be affected?"

3. Analyzing ownership and resources

Quick understanding of who is responsible for what:

  • "Who on the team is currently the most loaded by the number of active tasks?"
  • "Who is the primary owner of the API documentation?"

How to get the best result

For the most accurate answers, it is recommended to use the following principles:

  • Be specific: instead of "How's it going?", ask "What is the current status of implementing the requirements of section 3.2?".
  • Indicate the context: if the project has several similar modules, clarify which one you mean.
  • Use follow-up questions: if an answer seems incomplete, ask the AI to "expand on item #2" or "find additional confirmations in the comments".

Iterative refinement process

If a query is too ambiguous, Project Intelligence will not guess. Instead, the agent:

  1. Notes the uncertainty.
  2. Asks you one clarifying question to narrow the search.
  3. After your answer, provides the final, verified result.