
Information Literacy
tools on Google
Project Overview
Brief
Research indicates that familiarity with a merchant is a strong indicator of future likelihood to transact, making it challenging for small, new merchants and vendors to compete with larger, well-established ones.
Solution
Implementing helpful features from other surfaces to bring value to users’ trustworthiness journey
Role
UX Designer
Team
UX, UXR, Engineering, PM, Team leads
Timeframe
March 2021 - May 2021
Tools
Figma
The Problem
Users cite questions about the trustworthiness of small, unknown merchants. Star ratings, reviews, and contact information were among the most helpful information features on merchant trust journeys.
Research indicates that familiarity with a merchant is a strong indicator of future likelihood to transact, making it challenging for small, new merchants and vendors to compete with larger, well-established ones.
How do we know its a user problem?
The Plan
We can use Google’s existing understanding of businesses to:
Support users’ trust-related needs about unfamiliar merchants and vendors
Build trust in small, local merchants and vendors with a physical presence
Implementing Local Universal features on Diner that bring value to users’ trustworthiness journey
Local Universal (LU): The infrastructure that manages information about a place on Search and Maps, among potentially other surfaces.
Category, star ratings, reviews, and contact information were among the most helpful information features on merchant trust journeys per research.
What is Diner?
Users report misinformation and trustworthiness of content as a top concern. Diner is a way to give users tools to identify for themselves what is and isn’t trustworthy across verticals. For example evaluating an unfamiliar merchant, a new author, a social media post about climate change, or a health blog their friend sent them.
Current Entry points
Behind the three dots on all blue links on Search
Upon swipe up in the Google App
Behind lock icon on Chrome
Diner follows the expert recommended framework, SIFT.
SIFT: Stop, Investigate the source, find better coverage, trace claims, quotes and media to original context.
Taking a step back, Diner is where we are looking to implement Local Universal features to improve the users’ credibility journey. Local Universal is the infrastructure that manages information about a place on Search and Maps, among potentially other surfaces.
Design Goals & Explorations
Design goals:
Ensure appropriate voice (Google vs. from the web vs. from the source) can be comprehended by users
Consider overlap between LU and More Facts data (two separate implemented features)
Leverage icons when available to add visuals to the Diner page
Post feedback
Minimum viable product
Main design decisions
A. Wanted to give user a signal as to where the reviews are coming from. Snippets for a more scannable overview
B. Used highlights icons sans chips in order to account for user mental models. Larger + colorful icons add break-ability to all the text; helps with ‘snackability’
C. Containment helps to bring organization and helps make content more scannable
D. Static map, helps break up the text
E. Icons to allow for scannability, as well as minimizing text needed