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CRISC Practice Question: Which THREE of the following are characteristics…
Which THREE of the following are characteristics of leading key risk indicators (KRIs)?
⚠ Common exam trap
It's easy for candidates to confuse leading KRIs with lagging indicators, mistakenly selecting options that describe historical or past-event measurements because they think all KRIs are backward-looking, but CRISC emphasizes that leading KRIs are forward-looking and predictive.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
They are predictive in nature.
Leading key risk indicators (KRIs) are predictive in nature because they track forward-looking metrics that signal potential future risk events before they occur. Unlike lagging indicators that measure past outcomes, leading KRIs use trend analysis and threshold monitoring to forecast changes in risk exposure, enabling organizations to anticipate and address issues proactively.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
They are predictive in nature.
Why this is correct
Leading KRIs forecast future risk exposure, enabling pre-emptive action before losses materialise. This predictive quality satisfies the stem's requirement for forward-looking characteristics, distinguishing them from lagging indicators that merely report past events. By signalling deteriorating conditions early, they support the proactive risk decisions CRISC expects.
- ✗
They are based on historical data.
Why it's wrong here
Leading KRIs anticipate future risk exposure, whereas basing an indicator on historical data makes it lagging by construction. It is tempting because past incidents inform threshold-setting and trend analysis, but an indicator whose inputs are historical events cannot provide the early warning that defines a leading KRI.
- ✗
They measure past events and losses.
Why it's wrong here
Leading KRIs are forward-looking, signalling potential future exposure before losses occur; measuring past events and losses describes lagging indicators instead. It is tempting because historical loss data is genuinely useful for calibrating thresholds, but indicators built on it report what has already happened rather than what may happen next.
- ✓
They provide early warning of potential risk events.
Why this is correct
Leading KRIs track causal drivers before losses materialise, so their movement signals emerging exposure while there is still time to respond. This forward-looking warning characteristic satisfies the scenario's requirement for a defining trait of leading indicators.
- ✓
They enable proactive risk mitigation.
Why this is correct
Because leading KRIs signal exposure before incidents occur, they let management act on root causes rather than react to losses. This proactive mitigation capability satisfies the scenario's requirement for a defining characteristic of leading indicators.
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