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Fraud - SaaS

Truora Background Check Report Case Study: -50% Reading Time

Truora: background check report

Truora’s background validation report, like others in the market, was difficult for non-technical users to understand.

Improving an existing product

Properly defining the problem was tricky. We focused on the following question: How can a PDF report have an impacto on the business?

Results
The team
Truora: reading a background check report

Defining top 3 challenges identified from the current report

Truora: problems with background check report
Getting ready: Where are we? and What will we need?

Discovering opportunities for impact

After hitting the neurons, we identified 3 opportunities that help us make a positive impact.

Truora: Background check current problem

We start iterating the confidence score

We began with a focus on making low-effort, high-impact corrections.

Truora: background check first iteration

In the first week-long iteration, we achieved the following:

During the process, combining surveys, A/B testing, and short experiments in production, we interacted with more than 8,000 users.

Truora: user interview, survey and AB testing

We understood that small corrections did not generate big resutls

Truora: background checks redesign reports

It meant redoing many things from scratch. We had 30 days to make a big impact, and we only had three weeks left.

We take all the insights and create something unique.

Truora: BGC redesign report.
Truora: bgc redesign. Components.

More than 8k users put our design to the test

Truora: Background check heatmap

A great result in less than 30 days

Truora: background check Before & After

Results?
More intuitive and effective report

Truora: background check less reading time

50% less reading time

Users understand the report in half the time of the time.

Truora: background check more satisfaction

85% more satisfaction

Better perceived clarity and ease of use of use.

Truora: background check optimized accuracy

99% optimized accuracy

More accurate validations with prioritized information.