[AI-Driven New Business Creation] How Qualiteg Draws Implications from Hypothesis-Exploration Interview Results

Hello, and welcome to the Qualiteg blog. I'm Michele. In my work supporting AI-driven new businesses and marketing, there are questions I hear from clients again and again. Through this blog, I'd like to share my own answers to the challenges that anyone considering an AI-based business is likely to face.

Many client companies go to the trouble of conducting hypothesis-exploration interviews but never analyze the results afterward, so I often find myself advising them on why interview analysis matters so much.

Today, I'd like to walk through how to analyze hypothesis-exploration interviews.

First, organize and categorize your data

Start by gathering all the data obtained from the interviews and converting it into text. This includes transcribing audio recordings and digitizing your notes. To make the later categorization easier, I recommend writing each individual comment onto a sticky note, physical or online.

Next, sort each statement by theme or category. This brings related information together and makes it easier to analyze. For example, organize and categorize the data by themes such as users' pain points, preferences, and usage patterns.

Use the interview transcripts to conduct a deeper analysis and extract insights

Based on the categorized data, carry out an in-depth content analysis. This is where you identify specific patterns, frequently recurring themes, and unexpected opinions.

When extracting insights from the data, rely not only on intuition but on logical, data-driven reasoning to explore why a given opinion emerged and the reasons behind it. Read users' needs and problems from their comments and from the participant attribute information you collected beforehand.

The key to generating innovation lies in striking the optimal balance between a company's internal strengths and external resources. Innovation-Cross from Qualiteg Inc. is a co-creation support program designed to strike exactly that balance. We thoroughly analyze your company's current state and latent potential, and clarify which areas to develop internally and which to seek from outside.

We draw out your organization's internal creativity through idea workshops, while bringing in the elements your company cannot supply on its own through open innovation and partner development. This balanced approach is how genuine innovation happens. Our experienced consultants design the optimal combination of internal and external resources tailored to your company's characteristics and build a sustainable framework for generating innovation. Multiplying internal and external strengths, this synergy is what creates the future.

Once the implications are organized, report them to the development team and the business owner

Based on the insights you've extracted, organize them into concrete implications. This information becomes the foundation for reconstructing your hypotheses.

For example, let's take the case of Company A from our earlier example, which is considering a service to improve the quality of life of busy urban professionals. Suppose we are analyzing user insights from competing services in the category of "services that support your own career advancement."

You need to clarify why users feel they need career advancement right now: their workplace environment has become more demanding, they tried registering with a job-change service but weren't offered the kind of positions they hoped for, a peer earned an MBA and successfully changed jobs, and so on. Making explicit that these are the reasons behind users' feelings, that this is what moved them, is essential.

Once the information is organized, the next step is to report the results of the analysis. When presenting the implications, explain in a clear and easy-to-understand way how these insights affect the original hypotheses.

As you prepare the report, keep a concrete picture in mind of what the users' real challenges are and what kinds of solutions your company could offer in response.

Thank you very much for reading this column to the end. At Qualiteg, we provide training and consulting on AI technology and on how to plan new businesses. If this has caught your interest, or if you have specific requests, please feel free to contact us through the inquiry form here.

We also run a popular workshop for those who want to master the steps of creating a new business. The training focuses on having each participant think about the business from an executive's point of view, and the content is suitable not only for planning staff but also for their counterparts in engineering, design, and marketing.

We look forward to hearing from you. Please stay tuned for our next column.