Skip to content
MarketScale
‹ Back to IndustriesHealthcare

In MedTech, How Do You Define a User Need? with Nick Lesniewski-Laas of Sunrise Labs

The fundamental question that comes with designing new MedTech devices is this one: What are the user needs and requirements? The questions feels simple enough, but it’s far from simple. With that question comes others: Who is the user? What makes a good requirement? How do you actually test these requirements? For a MedTech…

This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.

Share

The fundamental question that comes with designing new MedTech devices is this one: What are the user needs and requirements? The questions feels simple enough, but it’s far from simple. With that question comes others: Who is the user? What makes a good requirement? How do you actually test these requirements? For a MedTech designer like Nick Lesniewski-Laas, Director of Electrical Engineering for Sunrise Labs, these questions can often inhibit his ability to deliver on quality products if the communication between all parties isn’t consistent and straight-forward. “I’m in the business of designing medical devices because I want to help people and I want to make sure that the devices I design are best able to do that,” Lesniewski-Laas said. “So, a lot of guidelines around requirements writing are aimed toward that but don’t really hit the mark in my opinion.”

On today’s Healthcare podcast, Lesniewski-Laas digs into this multi-layered question of delivering on user needs and defining needs versus requirements versus actual mandated FDA requirements. “By far the most important things to me are ‘unambiguous’ and ‘testable,’ or ‘verifiable,'” Lesniewski-Laas said. He breaks down the importance of atomicity, the way user needs affect everyone from the manufacturers to the patients, and his process for getting everyone involved on the same page so the potentially life-saving product can make its way efficiently to market.

For the latest news, videos, and podcasts in the Healthcare Industry, be sure to subscribe to our industry publication.

Follow us on social media for the latest updates in B2B!

Twitter – @HealthMKSL

Facebook – facebook.com/marketscale

LinkedIn – linkedin.com/company/marketscale

Healthcare: are you visible to AI?

Before they reach out, Healthcare buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Healthcare Insights

FDA clears UpDoc's LLM diabetes app, grants Aidoc breakthrough status as clinical AI crosses new regulatory thresholds

FDA clears UpDoc's LLM diabetes app, grants Aidoc breakthrough status as clinical AI crosses new regulatory thresholds

UpDoc has received FDA clearance for its LLM-driven diabetes management app, while Aidoc has been granted breakthrough device status for its AI-drafted radiology reports. This marks a significant milestone as clinical AI applications continue to gain regulatory approval and recognition. The advancements showcase the potential of AI in improving healthcare management and diagnostic processes.

  • 01UpDoc's diabetes management app receives FDA clearance.
  • 02Aidoc achieves breakthrough device status for AI radiology reports.
  • 03Regulatory milestones highlight AI's growing role in healthcare.

Jul 13, 2026

Cedars-Sinai's CDAIO on healthcare AI's second wave: workforce transformation, not just productivity

Cedars-Sinai's CDAIO on healthcare AI's second wave: workforce transformation, not just productivity

The chief data and AI officer at Cedars-Sinai discusses the evolving role of AI in healthcare. While the first wave of AI focused on enhancing productivity, the second wave is expected to transform job roles and the workforce structure. This shift indicates a deeper integration of AI technology in healthcare operations.

  • 01First wave of AI increased productivity in healthcare.
  • 02Second wave aims to restructure job roles.
  • 03AI will deeply integrate into healthcare operations.

Jul 13, 2026

Automation adoption gap widens in US manufacturing as medtech presses ahead

Automation adoption gap widens in US manufacturing as medtech presses ahead

Automation in US manufacturing lags, with 80% of factories lacking automation tools. In contrast, medtech manufacturers are advancing with technologies like micro-molding and ultrasonic welding. This disparity highlights a growing gap in technology adoption across different sectors.

  • 0180% of US factories have no automation.
  • 02Medtech manufacturers are investing in automation technologies.
  • 03There's an increasing divide in technology adoption across industries.

Jul 12, 2026

Explore More Healthcare Insights

Read more expert perspectives from across Healthcare.

Browse Healthcare Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Healthcare and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512