• 282: Beyond the Dashboard: How Curiosity Turns Customer Feedback into Action with Ryan Tamminga
    Oct 20 2026

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    Your dashboard is not the action. Here is how to turn customer feedback into real change.

    Yanique Grant sits down with Ryan Tamminga, Chief Customer Officer at Alchemer, a CX feedback platform used across almost every industry worldwide.

    Drawing on a career at Deloitte, Accenture and Reed Group, Ryan explains why feedback must reach a human when automation fails, how digging beyond dashboards revealed 15 customer segments where one company expected seven, and why curiosity, not ego, is what moves CX forward in the age of AI.

    In this episode:

    • Deciding what to automate and when to escalate to a live human
    • Moving past dashboards and sentiment scores to feedback that triggers action
    • One simple step to close the loop with customers this week
    • What to do when leadership disagrees with what customers are saying
    • How AI agents will change the way customers engage with brands
    • Why AI evolves, rather than replaces, the human role in CX

    Featured resources:

    Book: The works of John Steinbeck (Ryan is reading his entire anthology to sharpen his storytelling and narration)
    Alchemer (Ryan uses his own platform daily to stay close to customers)
    Claude with MCP connections into Salesforce and Gong
    Iris, Alchemer's new AI native CX platform

    Connect with the guest:
    LinkedIn: Ryan Tamminga
    Website: alchemer.com (use the Contact Us page and it will find its way to Ryan)
    Alchemer customers: mention you heard Ryan on this podcast in any Alchemer survey and it will reach him

    Follow the show: X @NavigatingCX and join our private Facebook group, Navigating the Customer Experience Community.

    Hosted by Yanique Grant.

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    26 min
  • 281: Is Human Support Becoming a Luxury? with Ben Rosenberg
    Oct 6 2026

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    Is human support about to become a luxury only premium customers can afford?

    Yanique Grant sits down with Ben Rosenberg, VP of Customer Experience Delivery at ChurnZero, a SaaS leader with two decades of customer experience behind him at companies like Zenefits and Sendoso. Ben gives an honest answer on whether automation is creating a two tier CX model, explains why AI still struggles with complex B2B context, and shares the data that convinced his team course based customer education is dead or dying. Plus, how he uses AI as an Iron Man suit for his team, not a replacement.

    In this episode:

    • Why a two tier CX model already exists and how automation could widen it
    • Human support as a strategic differentiator, not just a premium perk
    • Where AI still falls short in complex B2B support
    • Three months of data that changed ChurnZero's customer education strategy
    • Designing training for the 90 percent of users who just want to get on with their day
    • Ben's guiding quotes for pushing through pressure

    Featured resources:

    Book: How I Built This (NPR podcast hosted by Guy Raz): long form interviews with founders and CEOs, Ben's favorite listen for work
    ChurnZero (customer success platform for post sale teams)
    Claude and Claude Code (AI assistant Ben uses daily for organization and building team automations)
    YouTube (where most people now go to learn)
    Raspberry Pi (the kit Ben is using to learn home automation and hardware basics)
    Heart Over Hardware: Mastering the Human Skills AI Can't Touch. Our CX Human and AI Lab, live on Zoom, Tuesday, October 13, 6:00 to 7:00 PM Eastern. Hands on and interactive, not a lecture. Seats are $30. Register at the link and bring your team.

    Connect with the guest:


    LinkedIn: linkedin.com/in/benarosenberg (Ben is most active here and welcomes messages)
    Company: churnzero.com

    Ben is active in several CX networking groups and loves to talk shop on anything discussed in this episode.

    Follow the show: X @NavigatingCX and join our private Facebook group, Navigating the Customer Experience Community. Hosted by Yanique Grant.

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    22 min
  • 280: The Skills AI Can't Replace: Why Human Service Still Wins with Jeff Toister
    Sep 8 2026

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    AI won't replace your people. It will replace the ones acting like robots.

    Returning guest Jeff Toister, best-selling author of Human Service: The Skills AI Can't Replace, joins Yanique Grant to unpack where humans still win in a world racing to automate. Drawing on new research spanning more than 370,000 phone calls and 400-plus face-to-face interactions, Jeff makes the data-backed case for connection, understanding, and advocacy, the three human skills AI simply can't provide.

    In this episode:

    - Why connection is efficient: warm rapport makes calls 16% shorter
    - Understanding and advocacy, the skills that beat automation on complex issues
    - The greeting research: 12% better first-contact resolution and warmer customers
    - Why AI replaces the transactional employee, not the true expert
    - How to simplify your service strategy heading into 2027

    Featured resources:

    Book: Human Service: The Skills AI Can't Replace by Jeff Toister
    Book: The Service Culture Handbook by Jeff Toister
    Zoom (video conferencing Jeff uses daily, while noting no single tool is truly indispensable)

    LinkedIn Learning (home to Jeff's training courses, taken by 5 million-plus learners)
    Customer Service Tip of the Week (Jeff's free weekly email with content to share with your team)

    Connect with the guest:

    Human Service book (download the first chapter free): humanservicebook.com
    Customer Service Tip of the Week (free weekly research and tips): toistersolutions.com/tips
    Reply directly to any weekly email and it goes straight to Jeff

    Follow the show: X @NavigatingCX and join our private Facebook group, Navigating the Customer Experience Community. Hosted by Yanique Grant.

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    26 min
  • 279: Where AI Ends and Humans Begin: Building Customer Success on Clean Data with Rebecca Stone
    Aug 25 2026

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    Where should AI stop and a human step in? Rebecca Stone has spent 20 plus years finding the line.

    Rebecca Stone, Chief Customer and Marketing Officer at Plume, joins Yanique Grant to unpack why clean, centralized data is the real foundation of customer experience, and where AI should augment the journey versus where a human relationship has to show up. From the name problem that makes one customer look like four, to using AI to carry context across every support tier, to building high performing teams, Rebecca shares practical moves any leader can use.

    In this episode:

    - The first move to make when your customer data is messy
    - Where AI ends and human connection has to begin
    - Using AI to carry customer context across every support tier
    - The tools Rebecca can't live without: Claude, Gong, Salesforce, Marketo
    - Building high performing teams with The Five Dysfunctions of a Team
    - The Colin Powell quote that keeps her on track

    Featured resources:

    Book: Made to Stick by Chip Heath and Dan Heath
    Book: The Five Dysfunctions of a Team by Patrick Lencioni
    Claude (AI for building presentations and freeing up time)
    Gong (conversation intelligence and customer context)
    Salesforce (CRM and customer data)
    Marketo (marketing automation)

    Connect with the guest:


    LinkedIn: Rebecca Stone, connect and send her a message
    Company: Plume

    Follow the show: X @NavigatingCX and join our private Facebook group, Navigating the Customer Experience Community. Hosted by Yanique Grant.

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    15 min
  • 278 : Clarity Beats Confidence: How Great Leaders Actually Change with Terez Rijkenberg
    Aug 11 2026

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    What if the fastest way to lead change was to stop trying to feel confident? Executive coach Terez Rijkenberg says clarity beats confidence every time, and she has the frameworks to prove it.

    Terez Rijkenberg, executive coach to C-suite leaders and director at Tuitive AI, joins Yanique Grant to share the two frameworks behind her work: the RAFT formula (results, actions, feelings, thoughts) and Radical Adaptability. She unpacks how change really happens, how she coaches leaders through it with a real client story, and how her Claude-based AI system hands executives back 10-plus hours a week. She also shares the grounding quote she uses when stress spikes.

    In this episode:

    - Terez's journey from the corporate ladder through postpartum depression and identity shift to executive coaching
    - The RAFT formula: why your thoughts drive your feelings, actions, and ultimately your results
    - Radical Adaptability: safety, clarity, belief, experiment, and integrate, the five steps of real change
    - A client story showing why coaching a team is faster than telling them what to do
    - Before and after: building AI workflows that remove manual work and free leaders to think
    - The grounding self-talk Terez uses under pressure: this is not an emergency

    Featured resources:

    Book: The Success Principles by Jack Canfield
    Book: The Freakonomics series by Steven Levitt and Stephen Dubner (her gateway into behavioral economics and psychology)
    Claude (Anthropic) - where Terez builds her processes, systems, and personalized client dashboards
    AI Amplified Exec - her Claude plugin that turns spreadsheets, transcripts, and documents into branded outputs like board packs in minutes
    Tuitive AI - where Terez is director and built AI Amplified Exec, helping senior executives use AI safely for real gains in personal productivity.

    Connect with the guest:
    Website: terezrijkenberg.com
    Weekly email / blog: terezrijkenberg.com/blog
    LinkedIn: Terez Rijkenberg (most active here)

    Follow the show: X @NavigatingCX and join our private Facebook group, Navigating the Customer Experience Community. Hosted by Yanique Grant.

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    27 min
  • 277 : Deflection Done Right: Building AI Support That Customers Actually Love with David Karandish
    Jul 28 2026

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    Can AI answer your customers without pushing them away? David Karandish has automated support for 20,000 companies, and he says deflection should make the experience better, not worse.

    David Karandish, founder and CEO of Capacity, joins Yanique Grant to unpack how to bring AI into customer support the right way. After selling Answers Corp for $960 million, David built Capacity into an omni-channel support automation platform serving roughly 20,000 customers. In this episode he shares the design principles that keep automation human, why your first AI project should be a small, provable win, and how AI agents are now running entire companies from finance to marketing.

    In this episode:

    - The design principles that make AI deflection improve the customer experience instead of frustrating people, from great escalation paths to leading with empathy
    - Why human behavior is largely universal across regions, and where support questions actually differ
    - What the $960M Answers.com journey taught David about people who are truly stuck and have nowhere to turn
    - The single most practical first step for any support leader: go get your small win, then iterate
    - How builder agents let a complete novice spin up workflows, integrations, and CSAT surveys just by asking

    Featured resources:

    Book: Principles by Ray Dalio — a first-principles breakdown of how Dalio built one of the most successful investment firms of all time.
    Foundational AI models — Google Gemini, OpenAI, and Anthropic's Claude, used across the business.
    Jira — for tracking development tickets; David uses LLMs to analyze time-in-stage when off-the-shelf plugins fall short.
    Capacity — an AI-powered support automation platform that deflects emails, calls, and tickets across voice, SMS, WhatsApp, web, and email. ~20,000 customers, 250+ app integrations.

    Connect with the guest:
    Website: capacity.com
    Email: david@capacity.com

    Follow the show: X @NavigatingCX and join our private Facebook group, Navigating the Customer Experience Community. Hosted by Yanique Grant.

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    15 min
  • 276 : Pricing AI: Why the First Price Is Always Wrong and What Smart SaaS Leaders Do About It with Dan Balcauski
    Jul 14 2026
    Send us Fan MailPricing AI is the hardest pricing problem in software right now, and most SaaS leaders are getting it wrong on the first try. In this episode of Navigating the Customer Experience, host Yanique Grant sits down with Dan Balcauski, founder of Product Tranquility, to unpack why the first AI price a company sets is always wrong, how to set usage caps when you have no historical data, and what smart B2B SaaS leaders do differently to turn pricing from a liability into a strategic advantage.Dan has spent more than 20 years in software, starting as an engineer before moving into product management and discovering that how a company captures value matters far more than how it builds the product. Today he advises B2B SaaS CEOs on the AI pricing and packaging decisions that keep them up at night, and in this conversation he shares the frameworks, the mistakes to avoid, and the practical playbook he uses with real companies.WHAT YOU WILL LEARN IN THIS EPISODEWhy the first AI price is always wrong, and why that has nothing to do with how smart your team or your consultants are. Dan explains the fundamental economic shift underway in software, where both sides of the pricing equation are moving at once. On the cost side, he points to a benchmark showing the cost per task for a top model dropping by roughly 390 times in a single year, a change no normal business ever absorbs in its cost of goods sold. On the value side, models keep getting more capable, handling this month what they could not handle last month. His research shows that every application layer software company he studied that released AI capabilities revised its pricing and packaging within 18 months. The lesson is not to price perfectly on day one. It is to build for change.How to set usage caps and pricing tiers with zero historical data. Dan frames the real problem plainly. You know what a token costs, but you have no idea what customers will actually do with a new AI feature. Products are full of features that barely got adopted, and AI features do not get to skip that step of the innovation cycle. On top of that, a small group of power users, often around 5 to 10 percent, can drive the overwhelming majority of usage and cost. That makes the tempting shortcuts unreliable. Using dashboard views as a proxy breaks down because good AI gets used far more than the dashboards it replaces, and a beta group rarely matches the usage profile of the full market.The early access playbook that sits between beta and general availability. Dan recommends a stage where companies announce their limits, put a price on the feature, and communicate it clearly, but do not enforce or meter it yet for a defined window that can run anywhere from six weeks to 18 months. This eases customer anxiety about surprise bills, encourages real adoption, and lets the company gather genuine usage patterns instead of guessing from proxies that break down.Why you should separate ordinary plan limits from fair use limits. Even when you are not metering usage, Dan explains, you can reserve the right to throttle or downgrade the rare customer using a capability a hundred or a thousand times more than the average, much like companies already do with API request limits. Those levers let teams keep experimenting during early access without the finance team panicking when the bill arrives.Why communication is where pricing changes succeed or fail. As Dan puts it, most pricing blowups come not from the change itself but from the fact that it was communicated poorly or not at all. Agility beats certainty, and reviewing pricing on a quarterly cadence beats the old annual or five year rhythm.This episode is essential listening for SaaS founders, product leaders, pricing strategists, and customer experience professionals who want to understand how AI is reshaping the economics of software and what to do about it before the market forces the decision for them.ABOUT DAN BALCAUSKIDan Balcauski is the founder of Product Tranquility, where he helps B2B SaaS CEOs turn pricing from a confusing liability into a strategic advantage. With more than 20 years in software, Dan began his career as an engineer before moving into product management and discovering that how companies capture value matters far more than how they build it. His work now centers on one of the most pressing questions in software today: how to price AI. Before founding Product Tranquility, Dan was a principal product strategist at SolarWinds and head of product at LawnStarter. He holds a BSc in computer engineering from Iowa State University and an MBA from the Kellogg School of Management at Northwestern, where he also helps teach executive education courses on product strategy. He is the host of the SaaS Scaling Secrets podcast.QUESTIONS YANIQUE ASKEDCould you share a little about your journey and how you got from where you were to where you are today? You have said the first AI price is always wrong. Why is that, and...
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    22 min
  • 275 : From Pissed to Empowered: How Consumer Feedback Drives Business Transformation
    Jun 30 2026

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    What if the most valuable thing a customer could do for your business was complain? In this episode of Navigating the Customer Experience, Yanique Grant sits down with Michael Podolsky, co-founder and CEO of PissedConsumer.com and Wisebrand.com, to explore the power of negative feedback and why organizations that take it seriously are the ones that build lasting customer loyalty.

    Michael built PissedConsumer.com after a deeply frustrating personal experience as a customer left him with no recourse and no resolution. Starting with just $200 and no venture backing, he has grown the platform over the past 20 years into a consumer advocacy powerhouse serving over 30 million users. His message to businesses is consistent: complaints are not your enemy. They are your most honest source of business intelligence.

    WHAT YOU WILL LEARN IN THIS EPISODE

    87% of consumers contact a company directly before leaving a negative review online. That statistic sits at the heart of everything Michael teaches. By the time a review is posted, the customer has already tried to reach you. The review is not the problem. The missed connection is.

    In this conversation, Yanique and Michael explore how organizations of all sizes can shift the way they receive and respond to consumer feedback, including how to categorize complaints by severity, how to establish timelines for resolution, and why the department most often blamed for service failures is rarely the one responsible for causing them.

    KEY TOPICS COVERED

    From a Bad Vacation to 30 Million Users
    Michael shares the origin story behind PissedConsumer.com, which was born from a travel experience that left him with no recourse as a consumer. That frustration became the foundation for one of the largest negative review platforms in the world.

    Collective Complaints: A New Way to Get Businesses to Respond
    PissedConsumer.com recently introduced a collective complaint feature that groups consumer feedback around a single issue and gathers signatures to amplify the message. Companies that routinely ignore individual complaints have begun responding to collective ones.

    Complaints as Small Gifts
    72% of consumers who leave negative reviews are trying to protect future customers from the same experience. They want things to improve. Michael's position is that every complaint is a gift, and businesses that receive it that way build stronger relationships than those that deflect or dismiss.

    Customer Service Is Not a Deflection Mechanism
    Michael addresses one of the most common and costly mistakes in large organizations: treating customer service as a buffer designed to keep consumers away from the business rather than a function empowered to fix the actual problem. When customer service has real authority and clear escalation paths, the feedback loop works.

    Empowering Your Team with AI
    Michael shares how his organizations have deployed agentic AI systems using multiple models across departments including recruitment, operations, marketing, and deep research. His belief is that business leaders must integrate AI and human institutional knowledge now, not later.

    The Last Generation to Manage Only Human Teams
    Perhaps the most thought-provoking moment in the conversation comes when Michael reflects on where AI is taking the workforce. His message to his own employees: in nine months, the company will either need 70% fewer people or will be ten times more productive. Every single person chose productivity.

    BOOK RECOMMENDATION

    Getting Past No by William Ury. Michael has carried this book on negotiation and conflict resolution for over 40 years. For anyone who deals with difficult customers, challenging conversations, or resistant stakeholders, this is the read he points to first.

    CONNECT WITH MICHAEL PODOLSKY

    LinkedIn: Search Michael Podolsky, PissedConsumer
    Website: pissedconsumer.com
    Website: wisebrand.com

    FOLLOW NAVIGATING THE CUSTOMER EXPERIENCE

    X (Twitter): @NavigatingCX
    Facebook: Navigating the Customer Experience Community
    LinkedIn: Yanique Grant
    Website: yaniquegrant.com

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    26 min