Select Page
Highlights from State of Digital Quality

Voice: Building is Easy, Testing is Hard

With Alexa Skill Blueprints and increased documentation for developers, it’s never been easier to build a voice app. You can even build a skill in five minutes. Testing that app, however, is a different story.

Testing remains one of the major bottlenecks in creating successful voice apps. It’s a big reason there are more than 900 Alexa skills averaging a one-star rating.

By 2022, 55% of U.S. households will have at least one smart speaker. This means voice apps will become table stakes sooner rather than later, so brands have limited time to improve the quality and user experience (and ratings) of their voice experiences.

There are several challenges facing brands as they look to improve the quality and user experience of their voice apps, most of which are self-inflicted, including:

  • Experiences lack empathy and immersion
  • Consumers struggle to find apps they want
  • Specific phrases used to interact with smart speakers are applied incorrectly
  • Voice apps are not providing long-term value

With these user experience missteps, it’s no wonder 94% of users aren’t active on a voice app the second week after downloading it.

How can brands flip the script and create valuable voice experiences that customers will love?

On July 18th, Applause’s Emerson Sklar and Bespoken CEO John Kelvie will host a webinar about how to build five-star voice experiences. The webinar will provide background on the four voice KPIs you should be aligning your voice strategy to, the common challenges of testing voice apps, and the keys to overcoming these challenges using automation and crowdtesting.

Applause and Bespoken are two of only four trusted testing vendors listed on Amazon Alexa’s developer page.

Ebooks

Putting Quality First in the Age of Voice Commerce

Few retailers have succeeded with their voice commerce initiatives thus far. See how a commitment to quality can reverse this trend.

Published On: July 13, 2018
Reading Time: 2 min

How Much Testing Is Enough?

Risk-based testing prioritizes critical tests to reduce risk.

Are AI Tools Improving Accessibility in 2026?

Read the highlights from Applause’s annual survey on the State of Digital Accessibility.

Human Testing vs. AI Testing: What Each Can (and Can’t) Catch

Find the perfect balance for reliable software testing.

From Drift to Deflection: Engineering Trust in AI Systems

Maintaining user trust in your AI chatbots is a continuous process, involving evaluation, observation and adversarial testing.

Test Automation, AI and Gaps in Digital Quality

While AI-generated code and automation can speed releases, they require human oversight to make sure you’re testing what really matters.

What Makes a QA Process Mature?

Mature QA moves from reactive defect-chasing to proactive quality engineering.
No results found.