You probably have a firm grasp on some of the universal metrics of SaaS success: ARR, growth rate, churn rate, CAC, LTV, etc. There is no doubt that these are critical, but in many ways these metrics do not tell the whole story of “success”. So what’s the leading indicator that can give you a fuller picture of success? Your customers’ satisfaction.
My Dear Watson: Sentiment Analysis and More Now Live in Beta Reporting Dashboard!January 10, 2019
In November, we released a set of new reporting functionality in Qualaroo’s reporting dashboard. Complete with improved NPS reporting, nudge performance statistics at a glance, and word clouds, we brought you new ways to get more out of your Qualaroo experience.
Now we’re introducing even more ways to help you better sort through your insights, understand the user journey, and more.
From a redesigned Sentiment Analysis with IBM Watson visualization, an intuitive new way to search, and increased filtering and favoriting functionality, we’re thrilled to see how these updates will improve and speed up your workflow! Keep reading for more information on how our brand new features can fit into your process and help you better organize your insights.
Sentiment Analysis with IBM Watson:
Why focus on the nitty-gritty of individual free-form responses when you can quickly gauge user emotions with IBM Watson? Watson breaks down and visually represents emotion in text-based responses by joy, anger, disgust, sadness, and fear, so you can take informed action, quickly.
Coupled with our new and improved reporting experience, Sentiment Analysis can help you transform your free-form responses into actionable insights. Not already using Sentiment Analysis with IBM Watson? Sign up for a demo today and we’ll help you get set up!
New ways to sort responses: favoriting and filtering by completion status
Users can now favorite any responses of their choosing for quick navigation. Easily revisit any type of response by favoriting it. You can also filter reporting based on ‘favorite’ status, to give you even deeper insight. Whether it’s revisiting responses that contain keywords or that are just particularly interesting, users don’t have to go through the hassle of sifting through all collected responses.
Similarly, you can also now filter nudge responses based on completion status. We love this feature because it can sometimes be misleading to include data from only partially filled-out nudges. On the other hand, you can use filtering by completion status to quickly identify users who you’d like to follow up with for more information.
More ways to filter means more ways to segment your data and get clearer insights.
Identities listed with responses
You’ll now see a snapshot of identity details associated with all responses. Quickly assess demographics of the respondent like the type of browser used, associated email, and more. We love this feature because it empowers users to reach out to respondents quickly.
For example, if a response reveals something time-sensitive like a visitor having trouble purchasing, you can quickly send them an email. On the other hand, if a user reports a site-related issue, you can easily see pertinent information like what type of browser they are using in order to narrow down what might be causing their problem.
The best part about our new features is that they are most powerful when used together. For example, you can use Sentiment Analysis to get a sense of how users feel about a particular feature, favorite responses mentioning that feature and filter reporting based on favorite status to get a sense of any trends or performance statistics. If you then decide you don’t actually have enough information, you can use filtering based on completion status to identify participants who didn’t finish the nudge questions to follow up for more information.
Used together, our new reporting features make finding the most relevant insights easier than ever before. Whatever your use case is, we look forward to seeing how our community is empowered to access and use their user insights much more easily and quickly than ever before.
Please note, the features mentioned above are only available in the beta version, meaning it will only work on reports with fewer than 10,000 responses. To activate the beta version, select the turn on beta reporting option at the top left of the dashboard. Please reach out to firstname.lastname@example.org if you have any questions.
Prototype testing lets you discover whether users can achieve their goals and solve their problems using your solution. It’s a critical step that should be taken before any successful product launch.
This article will cover the major Dos and Don’ts of prototype testing. We’ll walk you through the most common mistakes we see in the field and share tips on how to avoid them.
Testing prototypes is an inherent part of finalizing designs. Nobody wants to wonder why users are not utilizing an app the way it should be utilized or why they can’t seem to complete a purchase on your website. And nobody wants to rework something that’s already been shipped.
UX designers are under a lot of pressure to produce designs that add value to users’ lives. But without input from your users, it’s nearly impossible to design an experience that actually helps alleviate their pain points. If you’re pressed for time and/or don’t have the help of a researcher, getting the user input essential to design a great product can certainly be a challenge.
As a UX designer, getting your leadership to support your major projects can be as much about talking the talk as it is about walking the walk. As much value as your work may provide, you also have to know how to sell it in a world of competing priorities and looming deadlines.
Even as UX design and user research are becoming a more prominent focus in today’s leading companies, it can still be tough to get executive leadership onboard with user research-related initiatives. We know the struggle.
This post originally appeared on UsabilityGeek.