Health tech brand uses VoC text analytics to save new product launch

Consumer Electronics

Learn how a consumer electronics brand applied voice of the customer (VoC) analytics to improve new product sales and parental satisfaction.

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Our client is a ‘health tech’ leader, well known for developing high-quality and data-driven products across various categories. They provide medical technologies that aim to improve the health and well-being of consumers and patients.

Finding reasons behind low new product sales based on the voice of the customers (VoC)

Main Problem

With one of their new product launches, our client introduced a digital thermometer to help track and monitor an infant’s body temperature. The medical device looked like an adhesive bandage; adults could strap it safely on a child’s arms or legs. It also had a built-in sensor wirelessly connected to a smartphone app. Users were required to download the free app before using the device. Ideally, when the infant’s temperature falls or rises, the tool’s sensor should automatically detect this change and alert users.

Our client’s product development and marketing teams were ecstatic about this new product, especially after investing a hefty amount of resources into its launch. However, several weeks after introducing the new thermometer, the marketing team reported a significant drop in the device’s overall sales.

Although, it did have an overall positive amount of online ratings and reviews. The marketers just couldn’t understand precisely why sales were lower than expected. They could only guess that the thermometer had some unforeseen design flaws or a poorly written instruction manual.

Nevertheless, the company knew that the answer to their problem lay in the voice of the customer (VoC). It needed a solution that could help:

  • Identify the correct consumer data to collect and analyze
  • Pinpoint the exact reasons behind the new baby thermometer’s low sales and star ratings
  • Support the marketers’ theory that the device failed because of poor technical design, not performance-wise

After evaluating several options, the health tech leader sought the help of Wonderflow’s text analytics platform.

Health Tech leader leverages Wonderflow: Less crying with VoC analytics

Main Solution

As a unified text mining solution, Wonderflow utilizes artificial intelligence (AI) technology to automate the collection and analysis of consumer feedback. Because our client’s new infant device was sold mainly online, this allowed our AI to scrape relevant reviews across dozens of e-commerce platforms easily.

It primarily sourced data from parent-related blogs, community forums, articles, review sections of webshops, and more. Then, the data was sorted, cleaned, and translated into visual summaries. Our client’s employees across their various departments could easily access and share the data at any time.

Using Wonderflow’s granular insights, the firm learned that its new product had low sales because it did not truly meet the consumers’ expectations. It had nothing to do with poor technical design. The device’s app notifies users if and when the child’s temperature fluctuates (‘negative’ alert).

The app did not inform users when there was simply no change in body temperature (‘positive’ alert). This design was because the product developers initially assumed that any child caretaker would want to only know about a baby’s possible sickness. In other words, our client thought no news meant good news.

Additionally, no team member was a parent themselves, proving that they did not fully understand their target demographics. In fact, many of the device’s purchasers were the kind of parents or nurses who wanted constant updates on the child, even if he or she appeared to be in good health. Some users complained in their reviews that they felt the need to wake up during the night to check on the baby, believing that the thermometer was not properly functioning.

Overall, many felt it was a poorly designed device due to the absence of both good and bad app alerts.

Text analytics saved not just a new product launch but also lives

Main Results

By leveraging Wonderflow’s technology, our health tech client turned insights from nearly 500 consumer reviews into immediate results. 

The thermometer’s star ratings improved drastically. Users increasingly showed their appreciation of the firm’s efforts by leaving positive feedback. Stakeholders were updated on the need for more data-driven solutions that eliminate guesswork.

 

Wonderflow respects the client’s wish to share limited information in this case study. To learn more about our technology, check out our solution page tailored to the needs of consumer electronics brands or managers in product development.

About Wonderflow

Wonderflow empowers businesses with quick and impactful decision-making because it helps automate and deliver in-depth consumer and competitor insights. All within one place, results are simplified for professionals across any high-UGC organization, and department to access, understand, and share easily.

Compared to hiring more analysts, Wonderflow’s AI eliminates the need for human-led setup and analysis, resulting in thousands of structured and unstructured reviews analyzed within a matter of weeks and with up to 50% or more accurate data. The system sources relevant private and public consumer feedback from over 200 channels, including emails, forums, call center logs, chat rooms, social media, and e-commerce.

What’s most unique is that its AI is the first ever to help recommend personalized business actions and predict the impact of those actions on key outcomes. Wonderflow is leveraged by high-grade customers like Philips, DHL, Beko, Lavazza, Colgate-Palmolive, GSK, Delonghi, and more.

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