Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Business Value and ROI ›› 6 Key Questions to Guide International UX Research ›› Terms and Conditions: A Snapshot of Confusion

Terms and Conditions: A Snapshot of Confusion

by Gregg Bernstein
3 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

Terms and conditions should be clear enough that users know, among other things, who their ham sandwich photos belong to.

Like ghosts, magnets, and the Force, terms and conditions influence us in mysterious ways. They tell us what we can and cannot do with a product or service, just not in a way that’s easily understood.

Recently, Instagram’s revised Terms of Service ignited outrage, quite a few account deletions and, in some extreme cases, reasonable discussion. What the revision did not do was provide clarity or set expectations.

Terms of service (or terms and conditions) are important and necessary, but they’re also largely inaccessible. Attorneys write them to protect the intellectual and material rights of their clients (the software vendors) and do so in the parlance of the legal system. In a court of law, these terms make sense. On a website intended to be read by non-lawyer humans [insert hacky “lawyers aren’t humans” joke here], these terms are gibberish.

Gibberish, as we all saw in the Instagram aftermath, tends to incite confusion: Do I own my photos? Is this picture of my half-eaten ham sandwich going to appear in an ad?

Maybe it’s time we think of terms of service as an extension of user experience. Yes, terms need to set legal parameters, but they should also set expectations, provide guidance, and serve the end user. For instance, Twitter displays a human-readable translation of their terms as “Tips” in tandem with the legalese. The translation doesn’t replace the actual terms, but it at least gives end users the gist of the agreement.

Bagcheck (also owned by Twitter) takes a similar tack by displaying the “Plain English Highlight” in a column next to the legalese in question.

Instagram’s current terms are not too onerous: 15 basic terms, six general conditions, and seven proprietary rights, all in semi-plain language. It’s not exactly conversational, but phrases like “You are responsible for any activity that occurs under your screen name” are pretty clear.

The UX/PR problem stems from Instagram’s proposed terms, where the terms—and the presentation of the terms—are more complex. What was presented in sentence case now appears in some combination of all caps, sentences, and numbered subsections. What once took 1,139 words now takes 5,149. A more robust agreement is one thing; a contract over half the length of Poor Richard’s Almanac is an undue burden.

The Instagram problem seems to be twofold: users were surprised by the changes, and unsure what the changes really mean. Both of these problems could have been mitigated with a bit of consideration.

To illustrate, let’s consider another recent update: Evernote recently launched a new version of its software. Not just new, but different: it marked a sea change in the UI. To prepare users for this change, the Evernote team followed two simple steps:

  1. They showed what was coming beforehand to ease users into the changes.
  2. They explained the effects of the changes.

It’s not exactly apples-to-apples: software updates are optional, and terms are (for now) compulsory. But Evernote’s considered approach to change demonstrates a path forward: Perhaps we should think of terms of service updates as we would software updates.

Apps like Evernote and iTunes set expectations by show-rooming their forthcoming changes, explaining what’s different, and giving users a chance to digest what’s in store. Show. Explain. Back off.

What did Instagram do? Announce. Foment outrage. Put up a quick “Ohnoes!” blog post.

What could they have done? Let’s translate the software update model:

Describe what’s changing. Explain why. Illustrate with real world examples. If Instagram had taken the time to translate what was in store (We’re cashing in and will need to use your photos to do so) and offered some real word examples of how this might effect users (All your ham sandwich photos belong to us), the reaction might have still been severe, albeit less so.

It’s likely that Instagram’s forthcoming Terms of Service Revision 2: Electric Boogaloo will be just as inaccessible, but slightly less distasteful. It’s also likely that the furor will slowly dissipate as users decide that an un-photographed ham sandwich is less tasty than an artfully composed still life with sandwich.

You know what would be delightfully surprising? If Instagram begins speaking to its 100 million-plus users with consideration and respect, in terms they can understand.

 

Image of tasty ham sandwich courtesy Shutterstock

post authorGregg Bernstein

Gregg Bernstein

Gregg Bernstein is a User Experience [UX] Designer / Researcher for MailChimp. Since 1996, he has solved design problems for some of the largest (and smallest) advertising and design firms worldwide (and some good bands along the way). He likes speaking to classrooms, boardrooms, and conferences on usable, enjoyable design.

Gregg earned his MFA in Graphic Design from the Savannah College of Art & Design, where - for some reason - he became fascinated with the presentation of tax return forms and digital legal agreements.

He resides with his family in Athens, Georgia. In his spare time, he runs quite a bit.

Tweet
Share
Post
Share
Email
Print

Related Articles

Hiring is automated. The tools built to help you keep up are making it worse. There’s another way — one that puts your data, your drafts, and your decisions back in your hands.

Article by Pavel Bukengolts
Job Search Terminal: A Local-First Tool for an AI-Shaped Job Market
  • The piece argues that most AI job search utilities deal with the wrong problem: they only lower barriers for candidates and perpetuate existing power imbalances.
  • It contends that the choice of local-first, people-centered tools is a political position on professional data ownership, not simply a technical decision.
Share:Job Search Terminal: A Local-First Tool for an AI-Shaped Job Market
5 min read

For researchers, AI tools are making the move from advising to building easier than ever. But the real obstacle was never technical. Meet the researchers who allowed themselves to create — and what the cost was.

Article by James Lang
The New Makers
  • The article says that becoming a maker as a researcher is less about learning new tools or skills and more about giving yourself a new identity, and that without fixing the internal permission structures that define your swim lane, even the most democratized AI tools won’t turn a researcher into a maker — you don’t have a founder; you have a frustrated advisor with a prototype.
Share:The New Makers
20 min read

Learn why authentic gamification is rooted in game genres rather than just collecting badges.

Article by Montgomery Singman
Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Chapter 5: Implementation
  • The article says that successful gamification is picking a game genre that fits your app’s core activities and user psychology, building satisfying intrinsic loops before adding extrinsic rewards, and iterating nonstop, and that without these foundations, you don’t have gamification; you have a progress bar that has a terminal point.
Share:Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Chapter 5: Implementation
5 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and