Absolute numbers alone aren't the relevant insight. They provide a surface-level understanding without revealing the "why" behind that behavior.
We all know that data-driven decision-making is a default approach to product management. Metrics and analytics are often the go-to resources when teams need to validate their product strategies.
But what happens when there’s no data to draw from, especially in the early stages of development? Or worse, what if the data doesn't tell the whole story?
This is where the often-overlooked art of qualitative customer research comes in. It’s the key to unlocking deeper insights that quantitative data alone cannot provide.
Qualitative research allows you to understand why customers behave the way they do, not just how they behave. It gives you the emotional and contextual depth that’s crucial for building products that truly resonate with your users.
At every stage of product development, from ideation to post-launch, qualitative research plays a critical role in uncovering what users really need, what they’re struggling with, and how to position your product effectively.
A smart health startup is on the brink of launching a new wearable device. The team is enthusiastic, the tech is cutting-edge, and they’ve begun early testing focussing on absolute numbers. However, without qualitative research, they’re about to make a significant mistake: users love the functionality, but they dont use the new feature as much because they find the device bulky and uncomfortable for everyday wear.
Focusing purely on numbers—like how often users engage with the device—wouldn't have revealed the real issue: the discomfort caused by the device's bulkiness. Numbers might show low usage, but they can’t explain that it’s due to the product's design flaws, not the functionality itself
After conducting qualitative interviews, the team can learn that aesthetics and comfort are just as important to their target market as the new functionality. This feedback, which wouldn’t have been caught through numbers alone, forces a pivot in design that ultimately makes the product a hit. Had they not caught this insight early, the company might have wasted months of development, manufacturing, and marketing resources on a product that didn’t meet user expectations.
Launching a new product often comes with a major pain point: the lack of historical data. With no established metrics, it can be hard to know if you’re heading in the right direction.
This is where qualitative research proves invaluable. Even if your product is in its infancy, conducting interviews or usability tests can offer insights that help steer your development roadmap.
For example, say you're building a SaaS platform for small businesses. Instead of waiting months to gather enough quantitative data post-launch, you conduct in-depth interviews with early users. These discussions reveal that users are struggling with onboarding—something you hadn’t anticipated as a major issue. With this knowledge, you can prioritize creating a more user-friendly onboarding process, which could be the key to higher retention and satisfaction from the outset.
At Magna, we perform qualitative research at every stage of product development. By listening to your users' needs, frustrations, and desires, we build products that are not just functional but truly resonate with our customers.
For example, during a recent project, we conducted (only) 10 in-depth interviews for one of our SaaS clients. Through these conversations, we uncovered two critical pain points:
(1) users were unable to sign up due to errors in the registration form, and
(2) they were struggling to properly install the code on their platform.
Without these insights, the company could have spent months chasing low conversion rates, unaware that the issue wasn’t with the product offering, but with technical errors in the user journey. By identifying and addressing these issues early, we helped the company avoid months of lost revenue and dramatically improve their customer experience.
Qualitative research also uncovers whether your product is solving a real, pressing problem for your audience or if it's just a "nice-to-have."
For another SaaS client, we encountered a different but equally impactful challenge. The product had a wide array of features and seemed well-designed, yet it wasn’t converting as expected.
User engagement and sales remained low. To uncover the root cause, we conducted over 20 customer interviews. The conversations revealed a critical insight: while users appreciated the product and found it interesting, they didn’t see it as solving an urgent, mission-critical need. It was viewed as a useful tool, but not an essential one.
This realization helped the company pivot. They could adjust their messaging to focus on addressing a more pressing pain point for their target audience, and also to rvise their product roadmap to highlight features that solved those key issues. This shift could not only improve product-market fit but also significantly boost their conversion rates.
At another company, the CEO launched a new vertical in healthcare tech, confident it would resonate in the market.
Despite a promising start, adoption rates were disappointing. The product wasn’t gaining traction as expected. To get to the root of the issue, we conducted extensive qualitative research with the app’s end users.
What we discovered was eye-opening: users didn’t see the app as a healthcare or health data provider at all. Instead, they perceived it as a general wellbeing app. This confusion meant that the company was operating in the wrong market category, which is critical in shaping how people perceive and evaluate a product.
By being placed in the wrong category, the app struggled to gain credibility as a serious healthcare solution. Armed with this insight, the company could reposition itself, realign its messaging, and target the right audience.
Qualitative research also shines when uncovering the motivations driving customer behavior.
One effective framework is understanding the "push" and "pull" factors. Push factors are the problems that prompt a customer to seek a solution, while pull factors are the desires or promises that draw them to your specific product.
For instance, in the smart city space, a company might discover through qualitative interviews that their B2B clients are primarily driven by the need to reduce operational costs (a push factor).
But what pulls them toward one product over another is the ability to offer easy integration with existing systems, something their competitors lack. Armed with this understanding, the company can focus its product development on seamless integration and optimize its messaging to highlight cost savings.
At Magna, qualitative research is at the heart of our product development process. Whether it’s identifying usability issues, uncovering unrecognized pain points, or realigning market positioning, qualitative insights provide the context and emotional depth that quantitative data often misses.
By embedding qualitative research into every stage, from discovery to post-launch optimization, we help businesses not only avoid costly missteps but also ensure that their products deliver real, lasting value to their users.
This approach allows us to catch critical issues early, shape products that resonate deeply with their target audience, and ensure long-term success in the market.
Qualitative research doesn’t just help you build better products—it helps you build the right products.
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