Google research: forcing step-by-step reasoning lifts same-model accuracy from 18% to 57%
JafarNajafov · x · 2026-10-13
Part 7 of the prompt-context series covers chain-of-thought context: citing Google research, forcing step-by-step reasoning took the same model's accuracy from 18% to 57% — structuring how the model thinks unlocks capabilities that were there but never activated.
The six-step template:
- UNDERSTAND: restate the problem in your own words
- DECOMPOSE: break it into ordered sub-problems
- ANALYZE: list approaches and tradeoffs per sub-problem
- SYNTHESIZE: connect the partial solutions
- VALIDATE: check reasoning and assumptions
- ANSWER: give the final answer with confidence levels
A copy-paste prompt for complex reasoning tasks is included.
Related event: Jafar Najafov's Eight Techniques of Context Engineering(9 posts)→
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