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Comparison

Decision-Making Frameworks vs OKRs (Objectives & Key Results)

Use this comparison to separate adjacent concepts, understand where each one fits, and avoid solving the wrong business problem with the wrong metric or framework.

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Decision-Making Frameworks

Leadership

Definition

Decision-making frameworks are structured approaches to making choices consistently and efficiently. Jeff Bezos's most influential insight: there are Type 1 decisions (irreversible, one-way doors โ€” take your time) and Type 2 decisions (reversible, two-way doors โ€” decide fast and iterate). Most companies treat ALL decisions like Type 1, leading to analysis paralysis. Amazon's research found that 90% of business decisions are Type 2, yet teams spend 70% of decision-making time on them. Using the right framework for the right decision type accelerates organizations by 40-60%.

Common trap

The consensus trap kills speed. Trying to get everyone to agree before acting leads to 'design by committee' โ€” decisions are watered down to the least objectionable option, not the best one. Amazon's 'Disagree and Commit' principle: you can express disagreement, but once the decision is made, everyone commits fully. Another trap: decision fatigue. Leaders who make 100+ micro-decisions daily have 40% lower decision quality by end of day. Effective leaders build frameworks that push Type 2 decisions DOWN the org chart โ€” decide once how decisions should be made, not making every decision yourself.

Practical use

Classify every decision as Type 1 or Type 2 before discussing it. For Type 2 decisions (reversible): set a 48-hour maximum decision time, appoint a single decision-maker (not a committee), and use the 70% information rule โ€” if you have 70% of the data you'd like, decide now. For Type 1 decisions (irreversible): use the DACI framework โ€” Driver (one person responsible), Approver (one person who can veto), Contributors (people who provide input), and Informed (people who need to know the outcome).

Formula

No formula attached
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OKRs (Objectives & Key Results)

Operations

Definition

OKRs are a goal-setting framework where ambitious Objectives (qualitative goals) are paired with 2-4 measurable Key Results that prove the objective was achieved. Intel invented them. Google adopted them at 40 employees and credits OKRs with 10x'ing their focus. The ideal OKR is 70% achievable โ€” if you hit 100%, your goals weren't ambitious enough.

Common trap

Teams turn OKRs into task lists. 'Launch feature X by March' is a task, not a Key Result. A proper Key Result measures IMPACT: 'Increase 7-day retention from 40% to 55%.' The difference is enormous โ€” one checks a box, the other drives real business outcomes.

Practical use

Set 3-5 Objectives per quarter. Each Objective gets 2-4 Key Results. Key Results must be numerical and measurable. Score them 0.0-1.0 at quarter end. Aim for 0.6-0.7 average โ€” lower means you're sandbagging, higher means you're not ambitious enough.

Formula

OKR Score = Actual Result รท Target Result (scored 0.0 to 1.0)

Decision framing

Focus on Decision-Making Frameworks when

Classify every decision as Type 1 or Type 2 before discussing it. For Type 2 decisions (reversible): set a 48-hour maximum decision time, appoint a single decision-maker (not a committee), and use the 70% information rule โ€” if you have 70% of the data you'd like, decide now. For Type 1 decisions (irreversible): use the DACI framework โ€” Driver (one person responsible), Approver (one person who can veto), Contributors (people who provide input), and Informed (people who need to know the outcome).

Focus on OKRs (Objectives & Key Results) when

Set 3-5 Objectives per quarter. Each Objective gets 2-4 Key Results. Key Results must be numerical and measurable. Score them 0.0-1.0 at quarter end. Aim for 0.6-0.7 average โ€” lower means you're sandbagging, higher means you're not ambitious enough.

Use the comparison, then pressure-test the decision.

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