Clearer value
Made the benefit immediate and personal.
I design for trust
Meta’s in-app browser Autofill lets people save payment information for faster checkout later. But the experience had to communicate value, security, and control at a moment when people were being asked to trust Meta with sensitive information. I led content design for the Save and Use experience across Facebook and Instagram, iOS and Android, partnering with Design, Product, Research, Legal, Privacy, Engineering, and Data Science.
Problem
Too much information competed at the moment people needed to decide.
Outcome
A clearer, more efficient experience that preserved required coverage while producing positive secondary product signals.
The challenge
During an audit of the Autofill experience, I identified this as a disclosure problem: the language was accurate, but dense. Value, security, data use, controls, and required disclosure were all competing for limited space.
The challenge was to make the experience clearer and more reassuring without losing information people needed to make an informed choice.
What I did
I redesigned the language across multiple treatment experiences, adapting the content to different visual approaches while maintaining the same legal, privacy, and product requirements.
I focused on three things: clearer value, stronger trust signals, and better economy of space. That meant making the benefit more immediate, explaining security more directly, simplifying controls and settings language, and removing repetition across the existing disclosure layers.
Made the benefit immediate and personal.
Explained security more directly and confidently.
Removed repetition and tightened every word.
Resolution
The redesigned treatments reduced the full disclosure by 46% and the primary consent disclosure by 58%, while preserving the information the experience was required to communicate.
The work also established an approved content baseline the team could reuse rather than starting over with each new Autofill iteration.
Impact
Reflection
The work separated two questions that are easy to conflate: does this change the metric, and is this a better experience? Even without an overall experiment win, we created a clearer, more efficient model for communicating a sensitive decision.