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Intelligence Lab · experiment

# Don't stop at theory. Build something useful.

Diagnose your system, design a monitoring plan, check an AI-generated answer or prepare a professional prompt. Without turning the exercises into sales demos.

Intelligence Lab

## Nine experiences, each one born from a lesson.

They run in your browser, with no sign-up and no connected AI, and export a result you can reuse with the tool you prefer. We publish them when they pass their tests.

L01 

### Maturity assessment

Output: Improvement priorities

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/maturity-assessment/)
- [Lesson 4.5](https://academy.innguma.com/en/method-governance-and-une-166006/responsible-self-diagnosis-from-self-assessment-to-a-90-day-plan/)
- [Template R16](https://academy.innguma.com/en/library/maturity-assessment-and-90-day-plan/)

L02 

### Monitoring plan builder

Output: Editable plan

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/monitoring-plan-builder/)
- [Lesson 2.5](https://academy.innguma.com/en/designing-a-monitoring-system/designing-the-monitoring-plan/)
- [Template R05](https://academy.innguma.com/en/library/operational-monitoring-plan/)

L03 

### Filter test

Output: Omissions and false positives of a rule

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/filter-test/)
- [Lesson 2.3](https://academy.innguma.com/en/designing-a-monitoring-system/capture-strategy-filters-and-quality/)
- [Template R04](https://academy.innguma.com/en/library/query-and-filter-test/)

L04 

### Signal log

Output: Observation, source and interpretation kept separate

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/signal-log/)
- [Lesson 1.4](https://academy.innguma.com/en/thinking-in-terms-of-intelligence/signals-noise-and-biases/)
- [Template R06](https://academy.innguma.com/en/library/log-of-signals-and-evidence/)

L05 

### Evidence auditor

Output: Claims classified as fact, inference, error or no evidence

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/evidence-auditor/)
- [Lesson 3.2](https://academy.innguma.com/en/ai-applied-to-intelligence/researching-with-ai-in-a-verifiable-way/)
- [Template R07](https://academy.innguma.com/en/library/ai-output-audit/)

L06 

### Hypothesis matrix

Output: Rival explanations of a signal

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/hypothesis-matrix/)
- [Lesson 3.4](https://academy.innguma.com/en/ai-applied-to-intelligence/analysing-relationships-and-producing-intelligence/)
- [Template R10](https://academy.innguma.com/en/library/matrix-of-hypotheses-and-alternatives/)

L07 

### Technology radar

Output: Maturity assessed from different dimensions

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/technology-radar/)
- [Lesson 5.2](https://academy.innguma.com/en/analysis-foresight-and-anticipation/technologies-and-innovation-activity-telling-interest-capability-and-adoption-apart/)
- [Template R12](https://academy.innguma.com/en/library/technology-radar/)

L08 

### Scenarios

Output: Alternative futures and conditional options

Access: No sign-up required

- [Open the tool](https://academy.innguma.com/en/lab/scenarios/)
- [Lesson 5.4](https://academy.innguma.com/en/analysis-foresight-and-anticipation/scenarios-building-plausible-futures-not-predicting-the-winner/)
- [Template R13](https://academy.innguma.com/en/library/scenarios-and-robust-options/)

L09 

### Intelligence prompt factory

Output: A reusable prompt, not the final product

Access: No sign-up required · customising with AI requires an account

- [Open the tool](https://academy.innguma.com/en/lab/intelligence-prompt-factory/)
- [Lesson 5.5](https://academy.innguma.com/en/analysis-foresight-and-anticipation/communicating-implications-and-decisions-the-intelligence-product-that-can-be-questioned/)
- [Template R14](https://academy.innguma.com/en/library/intelligence-product-specification-and-briefing/)

The Prompt factory (L09) prepares instructions for the AI of your choice; it does not run any model. No experience sends your data to a server.