1. How to identify the intel organizations think they know but are wrong?
1.1. The number of organizations having a solid CI process
1.1.1. Classify organizations by their CI process
1.1.1.1. Market research to identify which organizations have a CI process and which not
1.2. The effectiveness of CI process in Orgs to identify wrong intel
1.2.1. Analise real cases to verify the presence of wrong data/assumptions in their CI systems
1.2.1.1. Audit some real cases to see if we can identify examples of relevant ineffectiveness
1.2.1.2. Interview with decision makers to see their perception about the CI process
1.3. The volume and relevance of wrong intel hidden in the “I know” space
1.3.1. Analise real cases to verify the presence of wrong data/assumptions in their CI systems
1.3.1.1. Verify the literature for studies that measure this
1.3.1.2. Classify the type of intel most likely to be wrong
1.3.1.3. Audit some real cases to verify the presence of wrong data in the sensitive categories
2. Which of those intel are potentially harmful and their potential impact?
2.1. The negative effect on the organizations – realized and potential
2.1.1. Classify intel based on its potential to hurt organizations
2.1.1.1. Verify if there is literature on the topic
2.1.1.2. Search reports of fraud or loss in organizations and the link with wrong data and assumptions
2.1.1.3. Analyze risk areas – financial, reputational – and sources that can trigger this