In a city risk workshop, analysts fear false precision from made-up percentages. How should they still produce usable WLAN risk ratings?
Select an answer to reveal the explanation.
Short Explanation
You do not need fake decimal odds to decide what to fix first—high/medium/low done consistently still moves the queue. Waiting for perfect actuarial purity parks the WLAN in limbo. Usable beats pretend precision.
Full Explanation
Qualitative likelihood and impact scales can yield actionable WLAN risk ratings when applied consistently, even without precise quantitative models. Refusing to rate until perfect data exists stalls mitigation, while fabricated precision misleads stakeholders. CWSP risk analysis values decision-useful ratings over false exactness.