Daniel Blanco
Hastings-On-Hudson, New York, United States
800 followers
500+ connections
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Education
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New York University - Leonard N. Stern School of Business
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Activities and Societies: Co-President, Graduate Marketing Association (2005-2006)
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Languages
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Spanish
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Stop ignoring the killer... in your lending operations. Most credit unions think inefficiency shows up with long queues or manual paperwork. But the real damage? It hides in your stack—slowing approvals, raising acquisition costs, and quietly draining member trust. What if your lending stack needs a check-up—and you don’t even know it? Just like your health, early diagnosis matters: - Loan approvals dragging beyond 5–7 days = high blood pressure. - 80%+ application drop-offs = weak immunity. - $500+ cost per funded loan = chronic stress. You wouldn’t ignore these symptoms in healthcare. Why ignore them in lending? That’s why we built the Lending Health Stack Calculator, using data from 6+ Leading market analyst reports, combined with CU Performance data over the pas few years.. Think of it as your digital stethoscope—spotting: - Workflow friction - Borrower drop-off hotspots - AI-readiness gaps - Integration weaknesses It doesn’t give you vague best practices. It gives you a score, analyses your Stack in different stress scenarios, and gives you an actionable roadmap to fix what’s broken before it derails growth. Healthy stacks = faster approvals, higher conversions, and lower costs. Don’t wait for a breakdown. Run your Lending Health check-up today. Here's the Link to try it: https://lnkd.in/g5pxZzVd Pankaj | Andrea | Jennifer | Jesse | Arvind | Mukesh | Tarun #LendingInnovation #CreditUnions #DigitalLending #LoanOrigination #FinancialServices #Fintech #AIinBanking #Automation #FutureOfLending #MemberExperience #GrowthStrategy
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Userfeel
🚪 Your biggest growth leak might be hiding in onboarding. In fintech, we obsess over features, roadmaps, and AI. But users are still quietly disappearing at the front door. Recent industry research shows that slow or complex onboarding is now directly tied to lost revenue: 👉 ~70% of institutions report losing clients because onboarding takes too long 👉 Abandonment averages around 10% 👉 Repeated ID verification alone can trigger 25–35% drop-off That’s not a UX nit. That’s a commercial problem. What’s striking is where this friction lives: • “Just one more” KYC step • Unclear error states during ID upload • Confusing recovery flows •Users being asked to prove who they are… again These are trust moments, not forms. When you test the actual onboarding flow end-to-end. When you hear users say, “I already did this.” If you’re designing fintech products, here’s a simple question for your next sprint: 👉 When was the last time you watched 5 real users complete your onboarding? Chances are, your roadmap will look very different afterward. Want to see how fast you can uncover these drop-offs? Book a demo and run your first onboarding test this week: 👉https://lnkd.in/dCwcwVJn #Fintech #ProductManagement #UXResearch #Onboarding #KYC #ContinuousDiscovery #ProductUX
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