EI-301e · Module 1
Early Warning Indicator Design
3 min read
Early warning indicators are the specific, measurable signals that precede a threat's materialization. Designing effective indicators requires working backward from the threat to identify the observable events that would occur 6-12 months before the threat becomes a market reality. A model provider launching a product in your category is the threat. The early warning indicators are: the model provider hiring domain experts in your vertical, filing patents related to your problem space, partnering with companies in your ecosystem, and publishing research relevant to your core technology.
Do This
- Design at least 3 early warning indicators for each identified threat — no single indicator is reliable alone
- Make indicators specific and measurable: "Vendor X posts 5+ job listings for [your domain] engineers" not "Vendor X shows interest in our space"
- Assign monitoring responsibility for each indicator to a specific person or automated system
- Define trigger thresholds: how many indicators must fire before the threat is escalated from monitoring to active response?
Avoid This
- Design vague indicators that are impossible to monitor: "market sentiment shifts" is not actionable
- Rely on a single indicator per threat — single indicators produce false positives and false negatives at unacceptable rates
- Design indicators and then forget to monitor them — an unmonitored indicator is worse than no indicator because it creates false confidence
The best early warning indicators share three properties: they are observable (you can see them in public data), they are leading (they occur before the threat materializes, not simultaneously), and they are specific (they indicate the particular threat you are tracking, not general ecosystem activity). Hiring signals are observable and leading but may not be specific — a vendor hiring AI engineers could indicate many things. Hiring signals combined with patent filings in your domain are both leading and specific.