Your Agent
Use Your Agent to ask questions, generate charts, and produce repeatable reports grounded in enriched business and conversation data.
Your Agent
Two modes, one interface
Two modes, one interface, both grounded in your enriched data.
Use Q&A Mode when you have a question and want an answer in chat. Use Report Mode when you need a polished, repeatable deliverable on a cadence — weekly, monthly, post-launch. Both modes reason over the same data, shaped by the same custom prompts and system prompts your team has configured.
If you haven't already, read What is Dimension Labs? first for the bigger picture.
Choose a mode
Q&A Mode
Ask in plain English. The agent translates your question into queries, joins your structured business data with your enriched conversation data, generates the charts that make the pattern clearest, and answers in plain English with the dimensions it used cited inline.
Example questions:
Top drivers of churn among enterprise accounts?
Satisfaction difference: annual vs. monthly plans?
Billing complaint trend by region, last six months?
Which product issues drive negative NPS among enterprise accounts?
How do billing complaints differ by plan tier and region?
Every answer is grounded in row-level data. Every chart is drillable to the source conversations. Every result is reproducible.
A typical session runs two to six turns. When you have what you need, ask the agent to compile the conversation into a deliverable: a markdown summary, an HTML report, a CSV of the underlying rows, or chart files you can paste into a deck.
Report Mode
Define a business objective. The agent builds an analysis plan, executes it against your current data, and produces a polished report.
Reports include:
- Executive summary with the key findings.
- Methodology and statistical analysis.
- Visualizations and segment breakdowns.
- Recommendations grounded in evidence.
Reports are repeatable. Define the objective once and run it monthly. Export as HTML, PDF, or slides.
Bring supporting files when you have them: a plan file describing the report, a design file defining the visual language, a plan-support file with calculations and prior-period comparisons, or a template the output should conform to. The agent will use what you give it and ask for the rest.
What the agent does in a session
"Create a dimension that captures billing-related frustration."
It samples the data, generates a definition, and applies it across 100% of historical and future records. The result is a new structured field, not a one-off analysis.
How the agent is different from a BI tool
You don't need to know SQL or your schema. The agent figures out which fields to pull and how to join them.
It adapts to your custom dimensions and prompt configurations. Its answers reflect how your team defines the problem, not a generic template.
When your data has a gap, the agent says so and suggests how to fill it. Often that's a new dimension you can create on the spot.
It explains why a finding matters, not just what the number is.
What makes the agent yours
The agent is generic until your prompts make it yours. Custom prompts define the dimensions it reasons over. System prompts shape how it interprets and responds.
Together, prompts are why the same question against the same data returns a better answer for your team than it would for anyone else's. This is how Dimension Labs adds value other platforms cannot.
→ Configure dimensions in Custom Prompt Writing.
What the agent will not do
The agent answers questions your data can support. If a concept is not yet captured by a dimension, the agent tells you and proposes how to add it. It does not guess.
It works best with clear, specific business questions. Open-ended prompts like "tell me everything about my customers" return less useful results than scoped ones like "which customer segments are showing rising cancellation intent this quarter?"
For platform issues — login, billing, account configuration — the agent will direct you to the support chat widget. That is by design. The agent reasons over your data, not your account.
Where to start
Updated 6 days ago