The SCQA Framework

The SCQA framework — Situation, Complication, Question, Answer — is the structural skeleton that orients an executive before asking for their attention. It is not a storytelling device. It is a precision instrument for establishing shared context in the minimum number of words, so that the recommendation lands in a mind that is ready to evaluate it rather than a mind still trying to figure out what is being discussed.

Situation: what is true now, without controversy. One to two sentences. The facts the executive already knows and accepts. Complication: what has changed or what problem has emerged that makes the situation insufficient. This is the business problem in its clearest form — specific, consequential, and not yet solved. Question: what question does the complication raise that the document will answer? The question focuses the executive's attention on the decision they are about to make. Answer: the recommendation. Direct, actionable, time-bound. The answer is the point of the entire communication.

# SCQA Applied to an AI Initiative

## Situation
Our claims processing team handles 2,400 claims per month with an average
processing time of 8.2 hours per claim. Current throughput meets demand.

## Complication
Projected Q3 volume growth of 34% will require either 12 additional FTEs
(~$1.8M annually) or a change to how claims are processed. We cannot
hire at that rate without extending the Q3 backlog by 6+ weeks.

## Question
How do we absorb 34% volume growth in Q3 without proportional headcount
increases or backlog degradation?

## Answer
Approve a $250K 90-day AI pilot targeting the claims intake and triage
workflow, launching Q2 2026. Pilot data projects 60% reduction in per-claim
processing time — sufficient to absorb the Q3 volume increase within
current headcount.

The SCQA framework works because it establishes shared context before making a claim. An executive who reads the Situation and Complication and then the Question will have formed a hypothesis about what the Answer should be. When the Answer confirms or refines their hypothesis, they experience the recommendation as logical rather than arbitrary. When the Answer surprises them, they have enough context to evaluate the surprise rather than reject it.