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#443Shine: a podcast by Star66.4 / 100Get badge
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Shine: a podcast by Star

Hosted by Star

Listed under Technology, Business

Welcome to Shine: a podcast by Star. Here you will get actionable insider knowledge directly from globally leading industry experts and companies. We answer essential questions and take a deep look into technology and design thinking within Star core industries: Health & Wellness, Automotive & Mobility, and Fintech.

34 episodes · publishes monthly · latest 2024-09-25 · ~37 min/episode

Rank

#443

Substance

66.4

/ 100

Breakdown

Scored 2026-08
Updated monthly

Product rank

#14 of 30

Best B2B Product Podcasts →

Across the index

#443 of 1051

Substance

Top 42%

outscores 58% of the index

Why it scores where it does

Shine: a podcast by Star ranks #443 on The B2B Podcast Index with a substance score of 66.4 out of 100, scored across 5 recent episodes. It scores highest on guest caliber and insight density. Both guests bring legitimate operating experience. Wendy is a co-founder and CPO actively building a healthtech product serving an underserved market, providing real ground truth. Agnieszka leads design at Star on actual healthtech projects and brings multidisciplinary team perspective. Neither is a pure consultant or thought leader - both have shipped products and encountered real constraints. However, Wendy's prominence appears greater; Agnieszka's specific achievements and scale are less detailed in the transcript.

The five-dimension breakdown

Averaged across 5 recently scored episodes, with cited evidence.

Insight Density

14.2 / 20

The episode contains solid practical advice about user research and regulatory considerations in healthtech design, but much of it is relatively standard (talk to users, do qualitative research, consider business models early). While Wendy's grocery store story and the discussion of regulatory/privacy layers add value, significant portions involve repetition and agreement-building rather than dense insight delivery. The conversation often circulates around known best practices without pushing into genuinely novel territory.

“There is a wide divide between what quantitative data will tell you out there about your audience and then actually talking to people and seeing them use it.”

“something that we designers, as creative forces tend to omit is maybe the business case behind it”

Originality

11.6 / 20

The core thesis - talk to users, understand regulations, build for lived experience - is well-executed but represents established product design wisdom. The 'slow tech' concept is a decent framing device but loosely articulated. The discussion of power dynamics and AI in healthcare hints at interesting territory but remains surface-level. Most frameworks discussed (service design, diverse teams, ethical review) are recognized best practices rather than contrarian or first-principles thinking.

“there's slow food. I think there's this idea of slow tech coming out which is we have to be super mindful”

“how does introducing an AI agent subvert the power dynamics between the patient and the physician?”

Guest Caliber

15.0 / 20

Both guests bring legitimate operating experience. Wendy is a co-founder and CPO actively building a healthtech product serving an underserved market, providing real ground truth. Agnieszka leads design at Star on actual healthtech projects and brings multidisciplinary team perspective. Neither is a pure consultant or thought leader - both have shipped products and encountered real constraints. However, Wendy's prominence appears greater; Agnieszka's specific achievements and scale are less detailed in the transcript.

“I am currently the co founder and Chief Product Experience Officer of Me Salute Health, where we're closing the health equity gap for Hispanics in the U.S.”

“Agnes Kabilevic, design director at Star, leading our Polish team, splitting my time between working directly with clients on health tech products”

Specificity & Evidence

14.2 / 20

The episode provides some concrete details (Wendy's grocery store research, two-factor authentication struggles, Hispanic Americans overindexing on mobile, pandemic COVID data for Hispanic communities). However, it relies heavily on anecdotes and general observations. Missing are specific metrics on adoption, quantified reimbursement challenges, named regulatory examples, concrete timelines beyond 'two weeks' and 'month,' or specific product features/outcomes. The AI discussion and disease examples (oncology, ADHD) are vague; the regulatory landscape discussion names IRB but gives no specific requirements.

“Hispanic Americans over index on mobile phone and tablet usage compared to any other American”

“five times more likely to contract Covid and once you did, three times more likely to die than any other American”

Conversational Craft

11.4 / 20

The host asks reasonable opening questions and follows up on some points (e.g., 'How long were you building?'), but mostly agrees and builds narrative rather than challenging claims or drilling into tensions. Few moments of productive disagreement or skeptical follow-up. The host does redirect conversation productively (e.g., 'feature vs. product') but rarely pushes guests on contradictions or asks for evidence. The conversation is pleasant and flows well but lacks the sharpness expected of rigorous business interviewing.

“That's so interesting. And I think it's like a uh, classic startup mistake is not actually talk to people.”

“All right, thanks for the clarity.”

Standout episodes

  • Why inclusive HealthTech product design requires much more than quantitative research

    2022-10-20

    79
  • 3D HMI in automotive: opportunities, challenges and the future of the industry

    2023-04-20

    75
  • AI Compliance and Innovation: How Regulations Shape the Future

    2024-09-25

    65

Rank over time

3 periods tracked.

Episodes

5 scored on substance · 34 tracked in total.

  • AI Compliance and Innovation: How Regulations Shape the Future

    2024-09-25 · 31 min

    65 / 100
  • Solving the AI Buy or Build Dilemma for Tech Leaders with Sergii Gorpynich, CTO at Star

    2024-06-13 · 32 min

    57 / 100
  • Navigating regulation: The EU AI Act and its impact

    2024-05-20 · 25 min

    56 / 100
  • 3D HMI in automotive: opportunities, challenges and the future of the industry

    2023-04-20 · 36 min

    75 / 100
  • Why inclusive HealthTech product design requires much more than quantitative research

    2022-10-20 · 34 min

    79 / 100

Frequently asked

What is Shine: a podcast by Star's substance score?
Shine: a podcast by Star scores 66.4 out of 100 for substance and ranks #443 on The B2B Podcast Index. That puts it ahead of 58% of the B2B podcasts we rank and #14 of 30 in Product. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is Shine: a podcast by Star worth listening to?
Yes - Shine: a podcast by Star outscores 58% of the B2B product podcasts and shows we rank on substance, so a product operator is likely to come away with something useful.
Who hosts Shine: a podcast by Star?
Shine: a podcast by Star is hosted by Star.
How often does Shine: a podcast by Star publish?
Shine: a podcast by Star publishes monthly, has 34 episodes, released its most recent episode on 2024-09-25.
Which Shine: a podcast by Star episode should I start with?
Our highest-scoring recent episode is "Why inclusive HealthTech product design requires much more than quantitative research" (79/100) - a good place to start.

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Frequently discusses

Companies, products and tools that come up most across this show's episodes.

Star · 5OpenAI · 2Meta · 2EU AI ActGPTGoogleGeminiAnthropicClaudeLlamaMistralMicrosoftEuropean UnionISO 42001Health StackLynk and CoTeslaNokia

Guests who've appeared

Antonina BerlodchenkoMartin FixSergii GorpynichAntonina BorlichenkoJoaquim HaydenAlex TroitskyWendy JohansenAgnieszka Bilirice

Topics this show covers

The themes that come up most across this show's episodes.

star · 8Shine · 5EU AI Act · 2Telehealth · 2mental health · 2Monavate · 2IBM · 2empathy in design · 2linda bracanovich · 2todd simmons · 2healthcare · 2AI Management System (AIMS)Machine learning bias detectionMedical Device Regulation (MDR/IVDR)High-risk AI system classificationInformation Security Management System (ISMS)Model interpretability and non-determinismData privacy in AI training

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