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Home / Blog / Consumer Research / Automating Critical Steps in Product Development

Automating Critical Steps in Product Development

By Emma Dunstone-Brown inConsumer Research, Data Analytics, Fuzzy Front End

Automation has changed the way we do everything, including research. In our industry, automation has largely been used to streamline processes that were previously manual and time-consuming. Data collection and analysis are two areas most impacted by automation; automated tools can now be utilized for everything from extracting data from sources to analyzing it with advanced algorithms. This post discusses how automation has impacted quantitative research in recent years and how it can help us create innovative food products.

Customer feedback is no longer delayed

In the past, consumer feedback often took several months of time-consuming processes from recruitment to analysis which came at a high cost. Additionally, the accuracy of this information was not always reliable because customers were not always able to give detailed answers to questions about their experiences with your product or service. Now that you can automate the collection and analysis of customer data, you’ll get a wider, deeper reach and more accurate information quicker than ever before!

Meta analysis is possible

Meta-analysis is a statistical technique for analyzing the results of empirical research, in which the data from multiple studies are combined into a single data set and analyzed together. Meta-analysis can be applied to any kind of empirical study, from clinical trials to economic analyses. In quantitative research, meta-analysis takes the form of combining results from multiple studies using various methods to determine overall trends.

Meta-analysis has become increasingly important in consumer research because it allows you to combine data across different sources or time periods and analyze them as if they were part of one study cohort. This makes it possible to generate insights that would otherwise be hidden by disparate datasets that have been collected separately over time and space.

Innovation has got faster

The speed at which you can test ideas and concepts, new products and services in the market, marketing strategies, customer experiences and pricing models has accelerated. The ability to test these things quickly and at scale is a key benefit of automation.

As a result of this increased pace, there’s also less time spent on basic tasks like collecting data from interviews or focus groups, which lets researchers focus on higher-value activities.

Consumer engagement is easier than ever

You can start with what the consumer wants. For example, if you want to understand how your customers feel about a new product or service you’ve developed, you can use social media and mobile apps to collect data from real people who are actually experiencing your offering. You’ll be able to leverage these technologies in real time—and even better than that: in an automated way.

You’ll also have access to more information than ever before. Thanks to automation tools like Google Analytics and Facebook’s Audience Insights (which automatically provide insights into who visits your website), it’s easier than ever before for researchers at all levels of experience—from entry-level analysts on up through seasoned veterans—to get the most out of their research efforts.

Effective strategic innovation decisions

Automation is the way of the future, and it’s making it possible for you to get the data you need to make strategic decisions. With automation, you can get the data that will allow you to make better decisions about your brand and its direction.

Thank you for your interest in LaunchJuice’s recent blog post on Automation in Product Development. We’re inviting readers to share their experiences with data collection, analysis or research tools by leaving a comment or sharing a link to tools they use. Reply below or tweet @launchjuice with your thoughts!

We hope that this has given you a better understanding of how automation is impacting the qualitative research industry. As we’ve discussed, it’s making it possible to get the data we need faster and easier than ever before. We should note that there are still limitations on what these tools can do, but they’re getting better all the time as technology develops. If you are interested to find out what tools we are using to help our clients with market opportunity analysis feel free to contact us!

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Emma Dunstone-Brown
Founder, Chief Innovation Strategist
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