Collaboration & Process › Estimation & Planning

OKRs

Objectives and key results for setting goals.

OKRs (Objectives and Key Results) are a framework for expressing an outcome an organization or team wants to achieve and a small set of measurable results that indicate progress. Objectives state direction in plain language; key results describe observable changes rather than lists of tasks.

An objective such as “make account setup dependable” might have key results around successful setup completion, support contacts, and failure recovery. Choosing measures requires care: a number can be gamed or move for reasons unrelated to the work. Pair outcome measures with guardrails and explain how the data is collected.

OKRs are not a substitute for strategy, a project plan, or individual performance scores. A team can complete every planned task without changing the customer outcome, and a key result can move because of external conditions. Review progress to learn and make decisions, not only to report a grade. Avoid setting so many objectives that priorities are unclear.

Backend, frontend, and data engineers can connect technical work to outcomes while naming dependencies and measurement limits. Data teams should make metric definitions transparent so progress reports are comparable. See business metrics, north-star metric, and roadmap.

Treat the plan as a decision aid, not a promise detached from its assumptions. Name who can change scope, what evidence would prompt a replan, and which risks need a separate owner. Backend developers can identify system dependencies, frontend developers can clarify user-facing acceptance, and data engineers can expose source, quality, and backfill uncertainty.

Update the assumptions when new evidence arrives, and tell affected partners which consequence changes rather than only changing a date.