Concept study — not a client engagementAI SaaS analytics dashboard
Signal
A multi-tenant analytics product that explains what changed in your metrics and why, in plain language, with links back to the underlying data.
signal.example.com
Workspace · Demo
Product intelligence
Ask your data
Active users
18.4k+6.2%
Conversion
3.81%−0.4%
Avg. response
1.2s−18%
Weekly engagementLast 12 weeks
AI insight
Conversion dipped on Tuesday. The drop is concentrated in Android checkout, where load time rose after release 4.2.
View source query →
Draft incident summary →
- Platforms
- WebTablet
- Technologies
- Next.jsPythonSQL generationChartingMulti-tenant auth
The challenge
Dashboards show numbers but rarely explain them. The study looks at pairing standard charts with AI-written narratives that are always traceable to a query.
Our approach
- 01Natural-language questions translated into SQL against a governed semantic layer, with the query shown to the user.
- 02Anomaly detection that flags unusual movement and drafts a short explanation.
- 03Workspace-level isolation so each customer's data never mixes with another's.
Architecture
- Data warehouse
- Semantic layer
- Query agent
- Insight engine
- Dashboard
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