Audience 01
SaaS teams
Adopts it to replace a patchwork of tools with one reviewable surface.
Knowledge & context · Concept
Where the work actually changes.
HeadlessAnalytics is aimed at SaaS teams, developers, ecommerce operators, marketing analysts, enterprises.
01
Who it is for
Three audiences, one boundary model.
Audience 02
developers
Needs the same permission model for people and agents.
Audience 03
ecommerce operators
Needs the same permission model for people and agents.
02
Use cases
Each row maps a capability to the operational change it is meant to produce.
| Capability | Operational change | Status |
|---|---|---|
| Event and metric ingestion | Turns a manual control into an explicit contract. | Specified |
| Semantic metrics and attribution | Removes an ad hoc step from the workflow. | Specified |
| Governed analytics queries | Turns a manual control into an explicit contract. | Specified |
| Forecasting and experimentation | Removes an ad hoc step from the workflow. | Specified |
| Headless API, GraphQL, MCP and SDK access | Removes an ad hoc step from the workflow. | Specified |
03
Migration
How a team would move from the status quo without a big-bang cutover.
Step 01
Map the current path
Name the tools, owners and handoffs that the product replaces. Nothing is removed yet.
Step 02
Run one capability
Pick a single scoped capability and run it alongside the old path, with evidence compared side by side.
Step 03
Retire the old path
Remove the previous tool only when the new record is complete enough to audit.