Motion design craft / Prompt

Prompt: isolate one point without losing the comparison group

Use this prompt to call attention to one point without removing the distribution that gives it meaning. Keep the comparison group available throughout the explanation.

By AnimroUpdated 2 min readAI-assisted · independently agent-reviewed

Who this is for: Motion producers writing precise creative and educational briefs.

What to prepare

  • Paired values, units and observation labels
  • Selected point and reason for selection
  • Dataset scope, source and missing-value policy

Copyable creative brief

An authored planning example. Replace illustrative details with your approved product facts and assets.

Create a 30-second scatter-plot explanation using PAIRED_VALUES on fixed X_AXIS and Y_AXIS domains. Show axis names, units, scope and DATA_STATUS before interpreting the points. Plot every included observation at its supplied coordinates. Do not invent a trend line, causal relationship or missing values.

Begin with the full comparison group. Highlight SELECTED_POINT using a distinct outline or marker and a direct label while keeping other points visible at a readable supporting contrast. Maintain fixed axes and camera scale so the selected observation remains interpretable within the same distribution. Do not zoom until the rest of the group disappears unless a separate overview remains visible.

Use SELECTION_REASON as the explanatory copy, limited to what the data establishes. If labels collide, move annotation text into a side region with an unambiguous leader. Finish with the full plot, selected-point label, source and qualification together. Distinguish fictional demonstration data from reported findings.

Make it your own

PAIRED_VALUES
Supply matched x/y values with observation identifiers.
SELECTED_POINT
Name one existing observation and verify its coordinates.
SELECTION_REASON
State why the point matters without unsupported causality.
X_AXIS and Y_AXIS
Define units, domains and any transformations explicitly.
DATA_STATUS
Provide the dataset source, scope and relevant limitations, or state explicitly that the points are illustrative.

Frame an illustrative observation

A fictional practice dataset might pair session length with pieces completed. Highlight one session because it has the highest count in the supplied set, not because it proves longer sessions cause more output. Keep other session points visible so the chosen point does not appear representative by default.

Adapt dense plots

For many overlapping observations, ask the data owner to approve a density or aggregation approach. Do not spread points apart cosmetically without explaining the change. A labeled detail view may supplement the overview, but retain the original coordinate context and full scope.

Correct lost context

If unselected points become invisible, restore their supporting contrast. If the camera zoom makes the selected point look distant from the group, return to the fixed view. If narration claims a cause from an association, replace it with a descriptive statement supported by the supplied analysis.

Review checklist

  • Axes remain fixed during emphasis.
  • The comparison group stays visible.
  • The selected point is an actual supplied observation.
  • Interpretation does not invent a causal finding.
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Use case / Motion design craft

Data explanation motion videos

Build a data-explanation brief with a reader question, provenance, encoding choice, uncertainty notes and a timed outline using labeled fictional values.

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