Real-time User Testing with Your Customers: An Introduction to TryMyUI Stream

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TryMyUI Stream Real-time Usability Testing with your Customers

Transcript of Real-time User Testing with Your Customers: An Introduction to TryMyUI Stream

Page 1: Real-time User Testing with Your Customers: An Introduction to TryMyUI Stream

TryMyUI StreamReal-time Usability Testing with your Customers

Page 2: Real-time User Testing with Your Customers: An Introduction to TryMyUI Stream

What if you could...?

What if you could watch every single user’s session on your website and find all

the flaws and frustrations harming their experience?

What if you could use that knowledge to identify and fix bad UX and improve

your conversion rates, retention rates, sales, subscriptions, or whatever goal

you’re working towards?

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Going beyond Google Analytics

Google Analytics isn’t enough. Page visits, conversions, and dropoffs give at best

a rough outline of usage.

For users, the experience isn’t about page visits and conversions.

The complete picture is full of micro-interactions, little moments of delight and frustration and everything in between.

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Lots and lots of data

Individual moments of frustration

A.I.

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TryMyUI Stream: How it works

1. Add the script

snippet

Add the Stream tracking code

snippet to your webpages.

3. Find every bad

experience

Identify bad UX with Stream’s

A.I. frustration finder.

2. Collect real user

sessions

Get video data of every single

user session on your site.

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Quantizing Behavioral Data To Support UX

To drill down into the user experience and understand your users’ needs,

behaviors are the key bits of information.

If you know what people are doing on each page –

100% of the behaviors that make up their experience

at a granular level –

then you can mold that experience for the better.

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4 common signals of user frustration

TryMyUI Stream’s A.I. engine automatically detects and tags every captured

session with 4 key User Frustration Markers:

Rage Click Backtracking

Scrandom Wild Mouse

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Rage Click

Click.

Nothing happens.

Click.

Click click click.

Rage clicking is an obvious indicator that a user is getting frustrated. Identify

broken, unresponsive, slow, or misleading elements with Rage Clicks.

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Scrandom (Random Scrolling)

When the scent of information is weak, patient browsing gives way to impatient

scanning.

Does this page have my answer?

Scrolling rapidly through content, bouncing off the page bottom, users start

giving up hope. See where people are losing the scent and what content they

deem irrelevant with Scrandom.

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Wild Mouse

A natural response to slow processes and pages that don't load properly is the

Wild Mouse, where irritated, anxious users quickly zig-zag their cursor around

the screen as they wait.

Find these irritating speed bumps in the user experience with Wild Mouse.

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Backtracking

Have you ever gotten lost and felt like you were going in circles?

When users hit dead ends or wind up in the wrong place, they hit the Back

button. If the flow of information had led them in the right direction, they

wouldn’t need to double back.

Discover common dead ends and guide users in a more helpful direction with

Backtracking.

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Recursive Artificial Intelligence

Stream’s A.I. engine will continue to learn how to better identify these markers,

so pinpointing frustrating moments will be more and more reliable.

With better data on how your users are using your website, you can improve

your UX in leaps and bounds.

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Authentic experiences, real improvements

Your web traffic won’t wait patiently for UX issues to go away. Stream finds

every problem instantly and decreases your turnaround time.

What’s more, you can be sure that what you’re doing reflects real UX issues

that real customers are dealing with.

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Bridging the gap

WHAT TO TEST HOW TO TEST

When you run a usability study, how do you know what flow to test?

Your pre-conceived notions may not align with your actual testing needs.

TryMyUI Stream shows you where your UX needs improvement, so you can

truly narrow in on problem spots with in-depth usability testing.

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