Deep Analysis
Deep Analysis is Honeydew’s multi-step AI analyst. Rather than answering a single question, it runs end-to-end analytical workflows: breaking a complex business question into steps, executing multiple queries across your data, and synthesizing the findings into a structured analysis. You can use Deep Analysis to:- Investigate a revenue drop across dimensions and time ranges
- Build retention analyses from raw cohort data to actionable findings
- Answer open-ended questions that require multiple data passes and comparisons
Context Layer
The semantic layer defines what your data means — metrics, entities, calculations. The Context Layer sits above it and encodes how your organization thinks and analyzes.
- Analytical skills — step-by-step methodologies for funnel analysis, churn investigation, campaign evaluation, and more
- Organizational knowledge — business definitions, conventions, and domain expertise that don’t belong in metric definitions
- Historical memory — past events, decisions, and analytical traces that inform data interpretation and conclusions
Agents
Agents are the entry point for Deep Analysis. Each agent defines which domain the AI can access and which context it loads. A domain can power multiple agents with different context sets — afinance-analyst and a growth-analyst can both access the same underlying
data while loading different methodologies and organizational knowledge.