Contextual Ratings for Maps

Enhancing Google Maps place details with an Android Material Design UX integration, introducing predictive intelligence and historical rating transparency without breaking native bounds.

View Prototype

The Binary Barrier

Ambiguous Averages

A "4.2 Star" rating conveys zero actionable context to someone prioritizing Accessibility over Ambiance.

Review Fatigue

Users must manually parse hundreds of text paragraphs to find subjective answers about specific criteria (e.g. WiFi speed).

Misaligned Priorities

A location dragged down by "slow service" might still be perfectly acceptable for a user seeking a "quiet study spot."

"Ratings reflect the past, but decisions depend on the present."

Multi-Dimensional Mapping

Granular Trait Scoring

Introducing micro-scores for Ambiance, Price, Noise, and Accessibility instead of rigid overarching star ratings.

Dynamic Sort Prioritization

Allowing users to pin "High Speed WiFi" as their primary criteria dynamically repositions the entire locale ranking based on that precise sub-metric.

At-a-Glance Radars

Replacing standard bar-charts with intuitive spider-web diagrams, mapping out a location's exact profile relative to user needs.

Interactive Prototype

Tap the rating block below to test the Android Bottom Sheet integration and live metric swapping.

Tap the Ratings block

Sequential Flow Interaction

View Place
See Ratings
Tap Container
Filter Timeframe

Conventional Rating

  • Misleading absolute numbers masking specific flaws.
  • Forces brute-force reading to find specific attribute feedback.

Trait-Based Rating

  • Unravels exactly what constitutes the experience contextually.
  • Allows rapid visual filtering based on strict personal priorities.

Proposed Impact Metrics

-40%
Post-visit negative review spikes
+15%
Quicker decision routing speed
0
Clicks needed to identify a trend