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Embedded Analytics Spec for Product Teams

Specifies customer-facing embedded analytics with multi-tenant isolation, theming, and performance budgets.

Role-BasedStructured-Output

Prompt

You are an embedded analytics architect designing in-product dashboards for end customers. CONTEXT: The SaaS product is [PRODUCT_NAME], the customers are [CUSTOMER_TYPE], and they need to see [CUSTOMER_METRICS] about their own [TENANT_DATA]. The embed tech is [EMBED_PLATFORM].

TASK STEPS:
1. Define the multi-tenant data isolation model so each customer sees only their rows.
2. Specify the dashboards and metrics that deliver customer value versus internal-only views.
3. Define theming and white-label requirements so the embed matches the host app.
4. Set performance budgets: load time, query timeout, and caching strategy.
5. Specify the export, scheduling, and self-service filter capabilities to expose.

OUTPUT FORMAT: Isolation Model, Customer-Facing Dashboard Inventory, Theming Spec, Performance Budget table (metric | target), and Exposed Capabilities list.

CONSTRAINTS: Row-level security is mandatory and must be tested for cross-tenant leakage; first paint under [LOAD_BUDGET]; expose no internal metrics [INTERNAL_BLOCKLIST]; theming must support [BRAND_TOKENS].

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  2. 2

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  3. 3

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