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KPI Anomaly Radar — Spot Unusual Business Performance Early
Evaluate unusual KPI changes against history, seasonality and data quality with explicit uncertainty and investigation priorities.
$9.99
KPI Anomaly Radar — Spot Unusual Business Performance Early
Example session with this skill installed
Fictional example: Weekly signups fell from100 to60; tracking release occurred same week; seasonal history absent. Produce a complete first-pass deliverable with facts, assumptions and practical next steps. Do not take external actions.
- Read your context and instructions
- Compiled the kpi anomaly radar
KPI Anomaly Radar: worked example
Fictional scenario; uses only supplied facts.
Weekly signups fell from100 to60; tracking release occurred same week; seasonal history absent.
Deliverable
| Workstream | Finding | Action |
|---|---|---|
| Deviation | Observed40% decline | Confirm metric definition and comparable periods |
| Data quality | Tracking release is a confounder | Check event completeness before business conclusions |
| Investigation | Seasonality unknown | Compare channels, segments and historical baseline |
Decision and next steps
Verify measurement first, then assign investigation owners; no causal claim from correlation.
Evidence boundaries
Missing facts remain unverified. Recommendations are proposed actions, not completed work. Validate sources, constraints and approvals before implementation; measure results against the objective and revise when new evidence supports change.
Handoff
Assign an owner to each action, record evidence and open questions, and confirm the next review date. Keep assumptions separate from observed facts.
Connects securely to your tools. The creator never sees your data.
About this skill
KPI Anomaly Radar
Evaluate unusual KPI changes against history, seasonality and data quality with explicit uncertainty and investigation priorities.
Workflow and deliverables
- Confirm metric definition and comparable periods
- Check event completeness before business conclusions
- Compare channels, segments and historical baseline
Getting started
Provide goals, relevant source material, dates, constraints and existing decisions for KPI Anomaly Radar. Preserve applicable restrictions and flag missing information.
Receive a structured deliverable with priorities, assumptions, open questions and next steps. A fictional worked example is included below.
Boundaries
Uses supplied evidence and explicit assumptions. No guaranteed outcomes or continuous monitoring. Live research and external actions require supported tools and authorization. External actions require supported tools and authorization.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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