peopleanalyst

Tools · Startup & strategy

Smart Goals

Turn 'do better' into a goal you can measure — SMART objective + metric + OKR.

The method

SMART criteria (Doran), grounded in decision-focused measurement (Hubbard's Applied Information Economics)

The performance objective says 'improve cross-functional communication.' Six months later the manager and the employee sit in a review and neither can say whether it happened, because nothing in the sentence commits anyone to anything observable. Multiply that by every review in the company.

The SMART acronym is usually credited to George Doran's 1981 article, and the acronym is the least interesting part. The part where goals live or die is the M, and the best treatment of it is Douglas Hubbard's How to Measure Anything. Hubbard's claim is that nothing a manager cares about is genuinely immeasurable, because measurement is uncertainty reduction, not exact quantification. His clarification chain does the work: if a thing matters, it has consequences; if it has consequences, they are detectable; if they are detectable, they are measurable. Most 'immeasurable' goals turn out to be unclarified ones — nobody has said what would look different if the goal were met.

Hubbard also names the trap on the other side, which he calls the measurement inversion: organizations systematically measure what is easy rather than what matters. That is exactly how 'measurable' and 'achievable' get corrupted in goal-setting — the team picks the countable proxy and quietly swaps it for the aim. David Hand's Measurement: A Very Short Introduction explains why the swap is dangerous. Most management measures are what Hand calls pragmatic: they partly define the attribute they claim to quantify, and once a measure becomes a target, people optimize the measure. Hand's warnings about reification and gaming are the standing caveat on every SMART rewrite — a proxy always misses something, and the discipline is to name what it misses rather than pretend it is the thing itself.

Instead of a worksheet, the rewrite runs as a service: fuzzy aim in, SMART objective out with one metric, target, and review cadence — plus honest flags for what made the original un-measurable and what the chosen proxy misses, and the matching OKR if you cascade upward.

How it works

Grounded in the measurement corpus: rewrites a fuzzy aim as a SMART objective (each criterion explicit) with ONE metric + target + review cadence, honestly flags what made the original un-measurable (and picks a defensible proxy, naming what it misses), and emits the matching OKR. Performix-surface tool (per the 2026-07-03 routing: general performance-management instruments live with MBO and the scorecard on the Performix surface, syndicated via REST/MCP into other sites' workflows) — the single-goal companion to the mbo-designer cascade.

You bring

{ aim, context?, cluster? }

You get

{ original_aim, smart_objective (specific/measurable/achievable/relevant/time_bound + metric/target/cadence), measurability_flags[], okr?, grounded_in, provenance }

Use it for

See it work

example output

Aim: a product manager's review goal “be a better communicator,” with context that stakeholder misalignment was the top 360 theme.

SMART Goal — from "be a better communicator"

Original aim: "Be a better communicator" — a product manager's self-set development goal at annual review.

SMART Objective

By the end of Q3, publish a written decision brief for every major product decision and run a bi-weekly stakeholder update, raising the stakeholder-clarity pulse from 3.1 to ≥4.0 (out of 5).

  • Specific: Two concrete behaviors — a written brief per major decision + a standing bi-weekly update — not "communicate better" in the abstract.
  • Measurable: A 5-item stakeholder-clarity pulse, scored 1–5 by four raters.
  • Achievable: Both behaviors are within the PM's control and fit the existing meeting cadence.
  • Relevant: Stakeholder misalignment was the top theme in last cycle's 360 feedback.
  • Time-bound: End of Q3 (≈13 weeks).
  • Metric: Stakeholder-clarity pulse (mean of four raters).
  • Target: 3.1 → ≥4.0.
  • Cadence: Monthly check-in; full re-measure at Q3 close.

Measurability flags

  • "Better" had no baseline and no rater — un-scoreable as written.
  • The pulse is a proxy: it captures perceived clarity, not whether decisions actually improved. Pair it with a behavioral count (briefs published / decisions made) so a high score can't be gamed by narrowing what counts as "major."
  • Four raters is small; treat sub-0.5 score moves as noise, not progress.

OKR

Objective: Stakeholders consistently know what's being decided and why.

  • KR1: 100% of major decisions ship with a written brief (target: 8/8 this quarter).
  • KR2: Stakeholder-clarity pulse ≥4.0 (from 3.1).
  • KR3: Zero "I didn't know that was decided" escalations in the quarter.

Grounded in: the measurement corpus — SMART criteria + the OKR construct; proxy-metric / construct-validity caution.

Run it on your data

Call it on your own inputs — over the API, or hand it to your AI agent via MCP. Discovery is open; running it is metered.

REST  POST /api/bicycle/smart-goals
MCP   define_smart_goal

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