LAUNCHCLEAR●

FICTIONAL IMAGE EVALUATION SAMPLE

One image. Five traceable findings.

A bilingual evaluation of a synthetic checkout dashboard, covering data consistency, layout, semantic encoding, legibility, and text completeness.

Inspect the findings View the evaluated image

EVALUATED ASSET

The evidence stays visible.

Northstar Checkout Analytics is a fictional dashboard created only for this capability sample. It contains no customer information.

Fictional checkout dashboard with intentional inconsistencies, misalignment, duplicate chart colors, and truncated labels
Synthetic image created by LaunchClear on July 28, 2026. Intentional defects support repeatable evaluation practice.

STRUCTURED FINDINGS

Each decision links evidence to a repair.

中文结论：该图包含一项关键数据一致性问题和四项视觉质量问题，当前版本不适合直接作为可靠的业务报告。

F1

Unreconciled outcome totals

Critical

  1. The summary shows 1,240 orders, 1,010 successful orders, and 190 failed orders.
  2. The visible outcomes total 1,200, leaving 40 orders unexplained.
  3. Add the missing outcome category or correct the totals, then verify that all outcome counts reconcile.
F2

Misaligned summary card

Major

  1. The Failed card begins 12 pixels lower than the other summary cards.
  2. Align every summary card to the same vertical origin and height.
F3

Duplicate chart encoding

Major

  1. Retry and Failed use the same amber color, so color alone cannot distinguish them.
  2. Use distinct encodings and retain direct text labels for every outcome.
F4

Low contrast and truncated label

Major

  1. The Average order value label uses very light gray text on white and is truncated.
  2. Increase contrast and display the complete label.
F5

Truncated queue reason

Minor

  1. Unclear payment status is visibly truncated with no expansion mechanism.
  2. Allow the label to wrap or expose the complete value with an accessible details control.

ACCEPTANCE CRITERIA

A review can end with a verifiable retest.

  1. Summary outcome counts reconcile to total orders.
  2. All summary cards share the same top and bottom alignment.
  3. Every chart outcome has a distinct visual encoding and a direct text label.
  4. All labels meet normal text contrast guidance and display their complete meaning.
  5. Queue reasons remain readable at the target viewport without unexplained truncation.

DISCLOSURE

Independent work with explicit claim boundaries.

LaunchClear created the image, annotations, and report independently on July 28, 2026. The scenario is fictional and contains no real customer data. This sample does not claim paid client work, an OpenTrain engagement, or an endorsement by any hiring platform.