Debugging Success Podcast
Claim This Podcastby Naveen Kankate
Podcast Overview
<p><strong>Debugging Success</strong> explores how modern companies are built—from zero to scale. Host <strong>Naveen Kankate</strong> talks with founders, product managers, engineers, and data/AI leaders about the decisions that matter: what to build, how to prioritize, how to grow, and how to avoid repeating expensive mistakes. Expect frameworks, real metrics, and candid stories from the trenches.</p><p><br></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
Language
🇺🇲
Publishing Since
7/31/2025
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Recent Episodes
January 5, 2026
Why Most Branding Fails!
<p>In this episode, Naveen and <strong>Maddy Andresen</strong> unpack what branding really is—and why it’s much more than a logo, colors, or visuals.</p><br><p>They break branding into three core axes:</p><ul><li><strong>Technical aspects</strong> (name, design, symbols, clarity)</li><li><strong>Values</strong> (what you stand for)</li><li><strong>Actions</strong> (how you behave and execute)</li></ul><p><br></p><p>Then Naveen introduces a powerful idea: the <strong>fourth dimension of branding is time</strong>—the consistency of executing those three axes over a long period. That’s where brands compound and become synonymous with something real (like Toyota/Honda and reliability).</p><br><p>Maddy shares how her own research changed her view of branding: it began historically as ownership marks and trademarks, evolved through mass production and marketing, and now—especially with Gen Z—has shifted toward <strong>authenticity, narrative, and alignment</strong> between what a brand says and what it actually does. She highlights the importance of <strong>internal branding</strong>, where employees believing in the mission strengthen the brand externally.</p><br><p>They also discuss a common startup trap: getting stuck on a name or aesthetic without making it functional and understandable early on. Naveen shares a candid example of a rebrand (from an abstract name that didn’t connect to the mission) and why early-stage brands often need clarity before they can earn the right to be abstract.</p><br><p>A key takeaway for agencies and founders: you can’t “save” clients who don’t care. The best branding work happens when the client has an <strong>appetite to learn</strong>, is willing to evolve, and genuinely values building something meaningful. And ultimately, no branding strategy can replace the fundamentals—<strong>the product or service still has to be great</strong>.</p><br><p><strong>Core takeaway:</strong> Branding is what you build, what you stand for, and what you repeatedly do—<strong>consistently over time</strong>—with customers and teams shaping the story alongside you.</p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
January 5, 2026
“Just Do the Darn Thing”: Breaking Into Data With Colleen Hayes
<p>In this episode, Naveen sits down with <strong>Colleen Hayes</strong> for a practical, no-fluff conversation on breaking into data, staying employable as tools change, and what AI really means for analytics and BI roles.</p><br><p>Colleen shares her unconventional path into data: starting in the early 2000s at a law firm—before “data analyst” was even a common job title—she became the “tech girl” in marketing and kept saying <strong>yes</strong> to projects others avoided. That mindset earned her a seat at the table on early web + database projects (web forms, backend databases, reporting), and over time, those “extra” assignments became a full career in analytics. Her core lesson: <strong>don’t wait for permission—say yes, learn on the job, and stick with it.</strong></p><br><p>The conversation also dives into what Colleen sees as the most common mistake in analytics today: people sprinting toward <strong>Python/AI</strong> before building fundamentals like <strong>SQL</strong>. She emphasizes that sophisticated modeling only works when the underlying data is prepared—and that “old school” data work (cleaning, structuring, ETL, governance) still powers everything downstream.</p><br><p>On hiring and career growth, Colleen makes a clear distinction:</p><ul><li>Your <strong>resume</strong> is primarily for recruiters to check boxes.</li><li>Your <strong>portfolio</strong> is for technical hiring managers to validate your skills (Tableau Public, GitHub, visual/interactive resumes).</li></ul><p><br></p><p>For career durability over the next five years, her message is simple: tools will change—<strong>mindset and fundamentals matter most</strong>. Learn transferable concepts, expect platforms to evolve, and lean into the reality that “the only constant is change.” She also shares an optimistic take on AI in BI: dashboards won’t disappear overnight, because teams still need people to <strong>prep data</strong>, <strong>configure tools</strong>, and <strong>validate outputs</strong> (hallucinations and trust are still real constraints). AI may handle the “basic 80%,” but analysts will increasingly focus on the more sophisticated 20%.</p><br><p>They also touch on Colleen’s work in the community, including her <strong>data governance meetup</strong> (with upcoming sessions on storytelling, process automation, and AI) and her podcast, <strong>Team City Calculations</strong>, with upcoming episodes on <strong>data privacy</strong> and <strong>data manipulation</strong>.</p><br><p><strong>Key takeaway:</strong> If you want a career in data, start building—learn the fundamentals (especially SQL), create a portfolio, meet people in the field, and keep saying yes to the projects that stretch you.</p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
January 5, 2026
How to Stand Out in a Crowded Talent Pool (Data + Career Strategy)
<p>In this episode, Naveen sits down with <strong>Mahitha Sudhakar Voola</strong> to unpack how careers in tech can go far beyond the “software engineer” track—and how she discovered data analytics through a single course that changed her direction.</p><br><p>Mahitha shares how her interest in analytics started during her <strong>master’s program</strong>, when a friend pointed her toward the “next big thing” and a <strong>healthcare data analytics</strong> class made data feel instantly relatable. Working with real-world healthcare examples (like cancer stages and BMI) helped her connect the dots between technical skills and meaningful impact—especially because she had always seen healthcare as a purpose-driven field, even if she didn’t want to become a doctor.</p><br><p>From there, the conversation becomes a practical guide for students and early-career professionals. Mahitha explains what a real “lightbulb moment” feels like: not choosing a path for convenience (salary, remote work, hype), but finding something that <strong>organically pulls you in</strong>, makes you curious, and sparks the desire to learn more.</p><br><p>On career advice, she emphasizes two key phases:</p><ul><li><strong>During school:</strong> competition is intense, so you need a clear way to stand out—either by building a strong portfolio/projects or by choosing a university that gives you stronger networking and recruiting exposure.</li><li><strong>In your first job:</strong> your career starts after you get hired. Be proactive, explore different projects, find mentors, communicate your interests early, and keep learning through certifications and self-driven skill-building.</li></ul><p><br></p><p>Mahitha also talks candidly about <strong>self-advocacy</strong>—how shyness and self-doubt can hold you back early on, and how confidence grows through experience, recognition, and honest communication. Her definition of being proactive is simple and actionable: tell your manager what you want to learn, ask for work aligned with those interests, keep sharpening skills outside your day-to-day tasks, and take on challenges even when intimidated.</p><br><p>For continuous learning, she shares her top methods:</p><ul><li><strong>Online courses</strong> (Coursera, Udemy, LinkedIn Learning, YouTube)</li><li><strong>Newsletters + LinkedIn updates</strong> from people and companies she follows</li><li><strong>Certifications</strong> to validate and solidify skills</li><li><strong>Occasional meetups/webinars/conferences</strong> (when time allows)</li><li><strong>Hackathons/Kaggle</strong> as great portfolio builders (even if she hasn’t done them yet)</li></ul><p><br></p><p>Looking ahead, Mahitha’s biggest recommendation for anyone entering data is to build strong fundamentals:</p><ul><li><strong>SQL as the “bread and butter” foundation</strong> across data roles</li><li>Focus on <strong>problem-solving, data structures, algorithms, and pseudo-code</strong> because tools and languages change fast</li><li>For BI/visualization, she believes <strong>Power BI</strong> is a strong bet given Microsoft’s expanding ecosystem and AI integrations</li></ul><p><br></p><p>Mahitha closes by sharing that she keeps a low social profile and is easiest to find on <strong>LinkedIn</strong>, and Naveen hints at a future Part 2 to go deeper.</p><p><strong>Core takeaway:</strong> You don’t need to be a hardcore coder to build a strong tech career—follow what genuinely interests you, learn continuously, advocate for yourself, and anchor your growth in fundamentals that outlast any tool trend.</p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
11 total episodes available
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Frequently asked questions
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- What is Debugging Success Podcast?
<p><strong>Debugging Success</strong> explores how modern companies are built—from zero to scale. Host <strong>Naveen Kankate</strong> talks with founders, product managers, engineers, and data/AI leaders about the decisions that matter: what to build, how to prioritize, how to grow, and how to avoid repeating expensive mistakes. Expect frameworks, real metrics, and candid stories from the trenches.</p><p><br></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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