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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. 1.1Searching is not monitoring
  2. 1.2Information, monitoring, intelligence and decision
  3. 1.3From business objectives to intelligence questions
  4. 1.4Signals, noise and biases
  5. 1.5The intelligence cycle: a human, continuous system
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. 2.1From context to critical watch factors
  2. 2.2Universe of sources and coverage
  3. 2.3Capture strategy, filters and quality
  4. 2.4Roles, governance and dissemination
  5. 2.5Designing the monitoring plan
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. 3.1What generative AI can and cannot do
  2. 3.2Researching with AI in a verifiable way
  3. 3.3Classifying and structuring information
  4. 3.4Analysing relationships and producing intelligence
  5. 3.5Agents, tools, persistent knowledge and interoperability
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. 4.1Implementing a system is not installing a tool
  2. 4.2Responsibilities, governance and evidence
  3. 4.3Planning and operating the complete process
  4. 4.4Evaluating and improving without falling for vanity metrics
  5. 4.5Responsible self-diagnosis: from self-assessment to a 90-day plan
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. 5.1Applied competitive intelligence: interpreting moves, not collecting news
  2. 5.2Technologies and innovation activity: telling interest, capability and adoption apart
  3. 5.3Weak signals and trends: avoiding both noise and false certainty
  4. 5.4Scenarios: building plausible futures, not predicting the winner
  5. 5.5Communicating implications and decisions: the intelligence product that can be questioned
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. 6.1From the newsletter to the intelligence product
  2. 6.2Organisational memory: making knowledge outlive the chat and the analyst
  3. 6.3Collaboration and networked roles: intelligence that does not depend on a single person
  4. 6.4Measuring the value of intelligence without promising causality
  5. 6.5Continuous improvement: turning every monitoring cycle into organisational learning
Intelligence in the organisation →