Maps, Surveys and Evidence

Indicators and Dashboards: Useful or Decorative?

How to choose a small set of planning indicators worth tracking, what makes a dashboard useful, and the common ways measures mislead or go stale.

On this page
  1. What an indicator is for
  2. Why dashboards drift toward decoration
  3. Choosing a few measures worth tracking
  4. Input, output and outcome measures
  5. Beware of what a number can hide
  6. Making a dashboard work in practice
  7. A practical test

What an indicator is for

An indicator is a number that stands in for something harder to see. Nobody can observe “neighborhood health” directly, so planners watch things that point toward it: how many buildings stand empty, how many people walk to a store, how long a bus takes. A dashboard is simply a screen or page that gathers several of these numbers in one place.

The point of any indicator is to support a decision or a conversation. If nobody would act differently whether the number went up or down, it is decoration. That test is blunt, but it is the quickest way to separate a measure worth keeping from one that only fills space.

Why dashboards drift toward decoration

Dashboards often start with enthusiasm and a large menu of available data. The result is a screen of dials, maps and trend lines chosen because the data existed, not because anyone had a question. Common warning signs include:

  • Too many measures. When dozens of numbers compete for attention, none of them gets discussed.
  • No owner. If no person or department is responsible for a number, nobody explains it when it changes.
  • No target or comparison. A figure on its own, such as 14 percent, means little without a past value, a goal or a comparable place.
  • Stale data. An indicator updated once every few years cannot guide a decision about this year’s budget.
  • Visual polish over substance. Gauges and animated charts can look authoritative while hiding how the figure was built.

Choosing a few measures worth tracking

A short list of indicators, chosen deliberately, usually serves better than a long one. A few questions help narrow the field.

Is it tied to a goal someone actually holds? If a neighborhood goal is for residents to reach daily needs on foot, then the share of homes within a ten-minute walk of a grocery store is closer to the goal than the number of new storefronts. Starting from goals, not from available data, keeps the list honest. Broader measures of quality of life are sometimes grouped under livability indicators, but even those need a clear link to a stated aim.

Can it be measured consistently? An indicator is only useful over time if it is defined the same way each year. A change in method can look like a change in reality. Write the definition down: what is counted, where, when and by whom.

Is it understandable? If a resident cannot be told in a sentence what the number means, it will not support public discussion. Complex composite scores that blend many inputs into one index can be convenient but make it hard to see what is driving a change.

Can it respond to action? Some measures move slowly or are driven mostly by forces outside local control. They can still be worth watching, but they are poor ways to judge whether a particular local effort worked.

Is the cost of collecting it reasonable? A number that needs a large staff effort to update will often fall out of date. A rougher measure that actually gets refreshed may be more useful than a precise one that does not.

Input, output and outcome measures

It helps to separate three kinds of measure, because they answer different questions.

  • Inputs describe effort or resources: money spent, staff hours, meetings held.
  • Outputs describe what was produced: blocks of sidewalk repaired, buildings rehabilitated, trees planted.
  • Outcomes describe what changed for people: how comfortable walking feels, whether residents can afford to stay, whether a street is used throughout the day.

Outputs are easy to count and tend to dominate dashboards. Outcomes are what the public usually cares about, yet they are harder to measure and harder to link to any single action. A balanced set includes at least one outcome measure for each major goal, with a clear acknowledgment that many things besides city action can move it. This distinction also matters when judging whether a finished effort worked, a topic that overlaps with project evaluation.

Beware of what a number can hide

Averages can conceal sharp differences between groups or places. A citywide figure for housing cost or travel time may look steady while one neighborhood is worsening. Where possible, show the same measure split by area, and treat large gaps as a finding in themselves. Similarly, a target can distort behavior: if staff are judged on one number, effort may flow toward improving the number rather than the underlying condition. Pairing a measure with a companion that would reveal gaming, or simply reviewing the measure periodically, reduces this risk.

Be careful too about treating correlation as proof. If vacancy falls and rents rise in the same period, the indicators describe the changes but do not by themselves explain either. They are prompts for investigation, and sometimes for a conversation about housing affordability and who benefits.

Making a dashboard work in practice

A modest dashboard that is actually used tends to share a few features:

  1. A small, stable set of measures, often fewer than ten, with written definitions.
  2. Context for each number: a prior period, a stated goal and, where useful, a comparison with similar places.
  3. A named owner and an update schedule shown on the page.
  4. A plain statement of limits, such as sample size, data gaps or recent changes in method.
  5. A review habit. Someone looks at it at regular meetings and either acts on it or removes the measure.

Releasing a dashboard to the public can build trust, but only if it shows unflattering numbers as readily as flattering ones. A page that displays only good news invites suspicion. Trends in a city’s open data can also be hard to use for people without reliable internet access, so a printed summary or a presentation at public meetings often reaches people the web page does not. The wider debate about data-driven city management, sometimes called smart city data, raises the same issue: collecting more numbers is not the same as understanding more.

A practical test

Before adding or keeping any indicator, ask three things. What decision or conversation will this number inform? Who will look at it, and how often? What would we do if it moved sharply? If those questions have no answer, the number can wait. A short list that is read, discussed and occasionally revised does more for a city than a large display that nobody opens after launch day.

The complete guide to maps, surveys and evidence

Maps as Planning Tools: What Cities Can See
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