November 8, 2018
November 8, 2018
One of the fundamental challenges of understanding people’s “actual” experience of a mobile app is researching without coloring their experience with your presence. How do you see what users are experiencing without changing what they are experiencing by observing them?
dscout, a mobile-first contextual research platform, is purpose-built to address this challenge. WIth remote tools for app research, you can see the real-life moments shared by app users, hear their likes and frustrations, and understand how users actually experience your app.
Your experience in the usability lab, with surveys and with ethnography will serve you well in designing remote app research, but there are a few other considerations that, when blended with your existing design toolkit, will ensure your app data sings. Here are strategies worth considering in your app research design:
Want tips on analysis that complement our design advice? Stream our webinar on analyzing app experience research, featuring UXPA International president Jen Romano-Bergstrom.
A signature benefit of remote contextual research is capturing multimedia from participants. Using media questions, a user can pour their heart out about your app, take a screenshot of a confusing error message, or even record themselves setting up an account for the first time, all in-the-moment and without leaving their mobile device.
dscout offers three different media question types: Photo, video, and recording a scout's mobile phone screen.
Ensure your mission parts contain a media question where appropriate—even if you replace an open-end with a selfie-style video. And there’s no need to settle for just one media question: Pair an app screenshot with a selfie video for maximum context. Ask scouts to show you the app in-moment, and then have them follow-up with a quick "What are you doing in this moment?" video for depth and visuals into your app.
For a qualitative researcher studying app experience remotely, open-ends are the go-to question type. They afford participants the space and flexibility for description, creativity, and imagination, something the punchiest closed-ended question just can't touch. They should, however, be used carefully in app research, when moments of interest can be fleeting. Here are some tips for formulating effective open-ends:
Open-ends are such a go-to tool for experience researchers that we often don't consider their impact on our analysis and what we can learn from participants in a timely manner. For app analysis conducted remotely, choose these questions wisely and creatively. If you can't answer "Why are we asking this?", it's worth cutting.
Even for the most qualitatively-minded experience researcher, quant questions are a vital tool. Adding a few closed-ended questions can help inject rigor into your outputs, and it has the secret benefit of scouts tagging your data themselves. Let's explore what I mean:
Using closed-ends allows for scout-enabled tagging, saving you time and freeing you to focus on the meatier, thematic tagging structures. If a question's responses are potentially finite, make it closed-ended to narrow your scope.
More foundational to designing remote contextual research broadly, it bears repeating that for any remote app study to succeed, scouts need triggers and active language. Triggers are your research cues, priming participants to know when a moment is right for capture (e.g., "Any time you're having trouble with our app, show us...!"), and are imperative to getting the right data for your goals and needs. Active language is the principle of grounding your questions in the moment, as opposed to a recall-style (e.g., "What are you trying to accomplish when you do X?" "Rate the ease of ___ from 1-10." "Capture a screen recording of this bug."). You want data as close to the action as possible, and using active language aids in that effort.
These four strategies, combined with the foundations of effective remote contextual design, will ensure your project both captures the data you need and makes analysis largely self-evident. Tags will flow naturally from open-ends; filtering is seamless with a combination of closed-ends; and with a carefully selected media question, you have can see actual app usage like never before.
For advice on analysis of your app research projects, we turned to UXPA International president Jen Romano-Bergstrom for a free streaming webinar on analyzing app experience. Jen’s an experienced remote researcher and dscout user who developed tips and strategies for lightning-quick analysis while studying Instagram’s app during her time at Facebook. With both effective design and analysis, you'll be iterating on and improving your app in no time!
Ben has a doctorate in communication studies from Arizona State University, studying “nonverbal courtship signals”, a.k.a. flirting. No, he doesn’t have dating advice for you.