Accessible Copy Tool

Create engaging copy with audience needs in mind.

Background

This is a rebranding case study to make Readable, an existing company that tests readability of text and suggests improvements, a social-impact company. I love the idea of using tech for good and this rebrand uses their existing platform to make digital content more accessible.

Problem Statement

While the average American reads at a 6th grade reading level, there is no commercial means of validating the reading level of copy.

Solution Features

Must Have

Identify Target Audience

Receive inputs (age, region, education, and tone) pertaining to the target demographic of the copy.

Must Have

Assign Characteristics

Use backend infrastructure to assign needs (such as reading level, tone, and regional dialect) to the audience based on the provided inputs.

Must Have

Analyze Text

Compare the language used in the submitted copy to standard language models: Dale-Chall, Flesch, The Fry Graph, and SPACHE formula.

Should Have

Saves Audience Profiles

Store audience profiles for easy access and reference late use.

Should Have

Provide Suggestions

Integrate with a thesaurus to identify audience-appropriate alternatives to the submitted copy.

Could Have

Explain Insights

Provide context on why suggestions were made to educate the user.