[Skip to content](https://academy.innguma.com/en/learning-paths/#contenido) Learning paths # Six ways to develop intelligence. One goal: deciding better. Each learning path starts from a question and ends with a result you take away. Five lessons per learning path, each with its practice. Learning path 01 ## Thinking in terms of intelligence Learn to tell search, monitoring and intelligence apart, and to ask questions that matter. ≈ 2 h 10 min · Beginner 1. 1.1 [Searching is not monitoring](https://academy.innguma.com/en/thinking-in-terms-of-intelligence/searching-is-not-monitoring/) 2. 1.2 [Information, monitoring, intelligence and decision](https://academy.innguma.com/en/thinking-in-terms-of-intelligence/information-monitoring-intelligence-and-decision/) 3. 1.3 [From business objectives to intelligence questions](https://academy.innguma.com/en/thinking-in-terms-of-intelligence/from-business-objectives-to-intelligence-questions/) 4. 1.4 [Signals, noise and biases](https://academy.innguma.com/en/thinking-in-terms-of-intelligence/signals-noise-and-biases/) 5. 1.5 [The intelligence cycle: a human, continuous system](https://academy.innguma.com/en/thinking-in-terms-of-intelligence/the-intelligence-cycle-a-human-continuous-system/) [Thinking in terms of intelligence →](https://academy.innguma.com/en/thinking-in-terms-of-intelligence/) Learning path 02 ## Designing a monitoring system Move from needs to sources, filters and an operational plan. ≈ 2 h 45 min · Beginner to intermediate 1. 2.1 [From context to critical watch factors](https://academy.innguma.com/en/designing-a-monitoring-system/from-context-to-critical-watch-factors/) 2. 2.2 [Universe of sources and coverage](https://academy.innguma.com/en/designing-a-monitoring-system/universe-of-sources-and-coverage/) 3. 2.3 [Capture strategy, filters and quality](https://academy.innguma.com/en/designing-a-monitoring-system/capture-strategy-filters-and-quality/) 4. 2.4 [Roles, governance and dissemination](https://academy.innguma.com/en/designing-a-monitoring-system/roles-governance-and-dissemination/) 5. 2.5 [Designing the monitoring plan](https://academy.innguma.com/en/designing-a-monitoring-system/designing-the-monitoring-plan/) [Designing a monitoring system →](https://academy.innguma.com/en/designing-a-monitoring-system/) Learning path 03 ## AI applied to intelligence Find out what to delegate, how to verify results and how to build reproducible instructions. ≈ 2 h 35 min · Beginner to intermediate 1. 3.1 [What generative AI can and cannot do](https://academy.innguma.com/en/ai-applied-to-intelligence/what-generative-ai-can-and-cannot-do/) 2. 3.2 [Researching with AI in a verifiable way](https://academy.innguma.com/en/ai-applied-to-intelligence/researching-with-ai-in-a-verifiable-way/) 3. 3.3 [Classifying and structuring information](https://academy.innguma.com/en/ai-applied-to-intelligence/classifying-and-structuring-information/) 4. 3.4 [Analysing relationships and producing intelligence](https://academy.innguma.com/en/ai-applied-to-intelligence/analysing-relationships-and-producing-intelligence/) 5. 3.5 [Agents, tools, persistent knowledge and interoperability](https://academy.innguma.com/en/ai-applied-to-intelligence/agents-tools-persistent-knowledge-and-interoperability/) [AI applied to intelligence →](https://academy.innguma.com/en/ai-applied-to-intelligence/) Learning path 04 ## Method, governance and UNE 166006 Organise responsibilities, evidence, assessment and improvement without mistaking a self-assessment for certification. ≈ 2 h 25 min · Intermediate 1. 4.1 [Implementing a system is not installing a tool](https://academy.innguma.com/en/method-governance-and-une-166006/implementing-a-system-is-not-installing-a-tool/) 2. 4.2 [Responsibilities, governance and evidence](https://academy.innguma.com/en/method-governance-and-une-166006/responsibilities-governance-and-evidence/) 3. 4.3 [Planning and operating the complete process](https://academy.innguma.com/en/method-governance-and-une-166006/planning-and-operating-the-complete-process/) 4. 4.4 [Evaluating and improving without falling for vanity metrics](https://academy.innguma.com/en/method-governance-and-une-166006/evaluating-and-improving-without-falling-for-vanity-metrics/) 5. 4.5 [Responsible self-diagnosis: from self-assessment to a 90-day plan](https://academy.innguma.com/en/method-governance-and-une-166006/responsible-self-diagnosis-from-self-assessment-to-a-90-day-plan/) [Method, governance and UNE 166006 →](https://academy.innguma.com/en/method-governance-and-une-166006/) Learning path 05 ## Analysis, foresight and anticipation Move from signals to hypotheses, scenarios and strategic options. ≈ 3 h 40 min · Intermediate to advanced 1. 5.1 [Applied competitive intelligence: interpreting moves, not collecting news](https://academy.innguma.com/en/analysis-foresight-and-anticipation/applied-competitive-intelligence/) 2. 5.2 [Technologies and innovation activity: telling interest, capability and adoption apart](https://academy.innguma.com/en/analysis-foresight-and-anticipation/technologies-and-innovation-activity-telling-interest-capability-and-adoption-apart/) 3. 5.3 [Weak signals and trends: avoiding both noise and false certainty](https://academy.innguma.com/en/analysis-foresight-and-anticipation/weak-signals-and-trends-avoiding-both-noise-and-false-certainty/) 4. 5.4 [Scenarios: building plausible futures, not predicting the winner](https://academy.innguma.com/en/analysis-foresight-and-anticipation/scenarios-building-plausible-futures-not-predicting-the-winner/) 5. 5.5 [Communicating implications and decisions: the intelligence product that can be questioned](https://academy.innguma.com/en/analysis-foresight-and-anticipation/communicating-implications-and-decisions-the-intelligence-product-that-can-be-questioned/) [Analysis, foresight and anticipation →](https://academy.innguma.com/en/analysis-foresight-and-anticipation/) Learning path 06 ## Intelligence in the organisation Design useful products, retain knowledge and demonstrate their use. ≈ 2 h 30 min · Intermediate to advanced 1. 6.1 [From the newsletter to the intelligence product](https://academy.innguma.com/en/intelligence-in-the-organisation/from-the-newsletter-to-the-intelligence-product/) 2. 6.2 [Organisational memory: making knowledge outlive the chat and the analyst](https://academy.innguma.com/en/intelligence-in-the-organisation/organisational-memory-making-knowledge-outlive-the-chat-and-the-analyst/) 3. 6.3 [Collaboration and networked roles: intelligence that does not depend on a single person](https://academy.innguma.com/en/intelligence-in-the-organisation/collaboration-and-networked-roles-intelligence-that-does-not-depend-on-a-single-person/) 4. 6.4 [Measuring the value of intelligence without promising causality](https://academy.innguma.com/en/intelligence-in-the-organisation/measuring-the-value-of-intelligence-without-promising-causality/) 5. 6.5 [Continuous improvement: turning every monitoring cycle into organisational learning](https://academy.innguma.com/en/intelligence-in-the-organisation/continuous-improvement-turning-every-monitoring-cycle-into-organisational-learning/) [Intelligence in the organisation →](https://academy.innguma.com/en/intelligence-in-the-organisation/)