Generate Actionable Insights with Alpha

In this guide, you’ll learn how to use Alpha to generate actionable insights so that you can make informed product decisions quickly. By the end of this guide, you’ll be able to turn any assumption into a test, and any resulting data into a shareable insight.

To understand how Alpha operates under the hood,
read about our Agile Research Methodology.


 

Structure Experiments

 

Everything in Alpha is organized into Experiments

Think of an Experiment as a place to store all product-specific information for you and your team to reference throughout testing. You can create a new Experiment at any time or access an existing one that you’ve already set up.

 

Defining the Objective of an Experiment

There are a variety of reasons that your team may want to create a new Experiment. Common examples include:

  • To improve a specific business metrics like ‘revenue per customer’

  • To understand a new market like ‘connected devices in the home’

  • To test a new product concept like a ‘data compression platform’

Begin by outlining the topics or objectives you want to learn about, and then adding a detailed description. Doing so serves two purposes: it keeps everyone on your team on the same page, and provides necessary context for the Tests that will soon be executed within your Experiment.


 

Launch Tests

 

Think of a Test as a single question or assumption that your team needs to answer in order to make a decision. You can create new Tests at any time, and they will be added to your Testing Queue. Each Test takes between one to three days to execute on Alpha’s platform. While you can submit unlimited Tests, only a certain number will be executed at a time. Contact your administrator or account manager to understand how many Tests your workspace can run concurrently.

Understand the available types of Tests you can run in Alpha

There are five types of Tests that you can run on Alpha. Select the appropriate one based on the objective that you have when testing:

  1. User Discovery: To understand user opinions, behaviors, needs, and pain points
  2. Product Concept: To evaluate user response to a new high-level product concept or offering
  3. Feature Prioritization: To identify which individual features or value propositions within a product offering resonate most or least with users
  4. Competitive Overview: To compare and contrast user perceptions of competitor offerings, and to assess your position in the marketplace
  5. Usability Test: To identify bottlenecks and granular problems with your product’s experience

If you’re not sure which test type is appropriate, take your best guess! Once submitted, Alpha will automatically review and, if necessary, recategorize your Test before executing it.

As you create a Test, you can add or select other pertinent information as well about your target audience, any existing graphical assets that you already have, or branding limitations.

Test Iteratively!

Alpha takes the heavy lifting of research out of your hands so that you can focus on prioritizing assumptions and driving smarter product decisions faster. You do not need to submit requests for intensive surveys into Alpha. In fact, we recommend that you follow a simple rule of thumb: submitting a new Test into Alpha should not take more than 90 seconds!

Remember, Tests on Alpha run within days, not months. You’ll have plenty of time to iterate or build onto past Tests, so don’t worry if it’s not perfect the first time around.

To understand how Alpha turns your plain-English Test into data, you can check out our Agile Research Methodology.


 

Share Insights

 

After Alpha executes your Test, you will be notified that data and insights are ready for you to review. Depending on the Test, there may be an interactive prototype that was created, as well as a variety of data types and formats available, such as the following:

Quantitative data, which employs larger sample sizes, and typically more breadth of user feedback. This includes:

  • Charts of multiple-choice survey responses
  • Open-ended survey responses

Qualitative data, which employs small sample sizes, and typically more depth of user feedback. This includes:

  • Unmoderated user videos
  • Moderated user interviews
  • Phone interviews
  • In-person interviews

You can cycle through data in the full details of the Test, and highlight any individual chart or asset that you believe to be particularly insightful. For some data types, you can also segment by audience or cohort.

Finally, share your findings with your team!

Once you’ve run your Tests within an Experiment, you can aggregate all noteworthy data points into a shareable report and present that information to your team.

Armed with insights from your target audience, you can begin crafting your product’s narrative and translating that information into brilliant product decisions!

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