Product Team Success

The new airfocus, live — AI agents, an MCP connector and the end of product busywork.

Everyone keeps asking what product management is becoming in 2026. Spencer Crowley thinks that's the wrong question — the better one is whether the thing you're working on actually matters

I'm Ross Webb, and in this episode Spencer walks through the new airfocus: AI agents that connect your customer feedback automatically, an MCP connector that brings your real airfocus data into the AI tools you already use, and AI-native documents that kill the busywork so you can get back to your customers

This episode is brought to you by airfocus — the product management platform now building towards a product intelligence platform. Find out more at airfocus.com

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WHAT YOU'LL LEARN:

Spencer Crowley shares:

▶ Why "product is the bottleneck" is the wrong frame — and the sharper question to ask instead

▶ How the Insights agent auto-connects customer feedback into a "product context graph"

▶ Pulling verbatim customer quotes grouped by pain point from AI — and why it beats generic summaries

▶ Using the airfocus MCP connector to read and write your real data from your AI tool of choice

▶ Why AI-native documents in airfocus beat markdown files scattered across everyone's laptops

▶ What's next: analytics in the context graph, the Lucid tie-in, Workflows and airfocus skills

Kill the busywork. Query your real data. Make better calls, faster.

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TIMESTAMPS:

00:00 — What is product management becoming in 2026?

01:08 — Meet Spencer Crowley and the new airfocus

03:39 — The overwhelmed PM who built the first airfocus MCP

08:31 — The Insights agent connecting customer feedback automatically

11:07 — Verbatim customer quotes by pain point

13:09 — Where people get stuck, and airfocus skills coming soon

15:21 — Using airfocus inside your AI tool via the MCP connector

22:51 — airfocus documents vs markdown files on everyone's laptop

24:19 — The vision: context graph, analytics, Lucid, Workflows and skills

31:07 — Closing and what's next

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SPONSOR:

airfocus.com

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If this episode helped you, please follow Product Team Success on your podcast app of choice and leave a quick rating. It genuinely helps other Product Ops and Product Leaders find the show.

Your first day in Product Ops, they hand you a pile of jigsaw pieces. No box, no picture on the lid. Just chaos.

Ross Webb is joined by four operators who give you the four corners of the jigsaw — the foundations that separate a strategic partner from a glorified admin.

This episode is brought to you by Airfocus by Lucid — the structured foundation that keeps strategy intact as you scale, so your team always knows what to build and why. Find out more at airfocus.com

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WHAT YOU'LL LEARN:

▶ Leonora Meaney — Why your "customer" in Product Ops is the PM, the UX team and leadership, and how to run your own internal customer discovery before anyone tells you the priorities.

▶ Kristen Reals — The Roadshow stakeholder listening tour: lead with empathy, name the pain points, and turn complaints into outcomes that go a long way with people.

▶ Matthew Kanawati — Analytics is the easy part. The work is the storytelling that equips decision-makers, aligns product and executive leadership, and drives quick and precise decisions.

▶ Jason Lott — Confusion is a tax on busy PMs. Clarity through documentation is the single biggest gift Product Ops can give a product team — and that's strategic partnership, not admin.

Build the foundations. Stop reacting. Start leading.

TIMESTAMPS:

00:00 — The Jigsaw You Get Handed on Day One

00:33 — Sponsor: Airfocus by Lucid

01:16 — Meet the Four Operators

01:47 — Corner 1: Voice of Customer (Leonora Meaney)

04:19 — Corner 2: The Stakeholder Roadshow (Kristen Reals)

06:00 — Corner 3: Analytics as Storytelling (Matthew Kanawati)

07:16 — Corner 4: Clarity Through Documentation (Jason Lott)

09:19 — Land the Plane: The Four Foundations

10:09 — Sponsor: Airfocus by Lucid

10:42 — Subscribe & Join Top Prods

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YouTube — youtube.com/@productteamsuccess

SPONSOR:

airfocus.com

If this episode helped you, please follow Product Team Success on your podcast app of choice and leave a quick rating. It genuinely helps other Product Ops and Product Leaders find the show.

Three Product Ops leaders on why invisible teams get cut first — and the frameworks that make your function impossible to remove.

SHOW NOTES:

If the business doesn't know what you do, you don't exist. And when layoffs come, invisible teams get cut first.

Ross Webb sits down with three Product Ops leaders to unpack how to transform an "overlooked support function" into a strategic powerhouse leadership can't operate without.

This episode is brought to you by airfocus by Lucid — the structured foundation that keeps strategy intact as you scale. Find out more at airfocus.com

WHAT YOU'LL LEARN:

▶ Ninon La Force (Senior Product Operations, Enable) — The NPI (New Product Introduction) process that stops product launches failing at scale. Why 100 employees is the tipping point where launches start to break, when to bring CS, implementation, and revenue teams into the cycle, and why "agile" doesn't mean "no sequence."

▶ Juan Sanchez Martinez — Why your most elegant process is worthless if nobody adopts it. How to diagnose where your company sits in its life cycle, when to use a "big bang" rollout vs. piloted social proof, and why different parts of the product org absorb change at very different speeds.

▶ Heather Hansma — The four-level communication framework that makes Product Ops bulletproof: Why → What → How → Success. The "tell them five times" rule, how to build champions at every level, and why cultivating sponsors in Sales might be the single thing that saves your job during a reorg.

Build it properly. Get it adopted. Protect it through visibility and sponsorship.

TIMESTAMPS: 00:00 — Why Invisible Product Ops Teams Get Cut First

00:49 — Sponsor: airfocus by Lucid

01:00 — Episode Preview

01:30 — Ninon La Force: The NPI Process & The 100-Employee Tipping Point

05:20 — Juan Sanchez Martinez: Why Adoption Beats Design Every Time

07:37 — Heather Hansma: The Four-Level Communication Framework

10:38 — Your Next Steps

11:27 — Sponsor: airfocus by Lucid

If this episode helped you, please follow Product Team Success on your podcast app of choice and leave a quick rating. It genuinely helps other Product Ops and Product Leaders find the show.

Three product operations leaders expose the uncomfortable truth behind product ops failures — and it's not what you think.

Jennifer Bronson has spent years building documentation and Notion spaces teams asked for — then never used. The fix? Treat product ops like a product. Build with your users, not for them.

Karin Cross-Smith reframes everything with one brilliant metaphor: driving a car. You don't think about starting the engine or reversing the driveway — you just get to the coffee shop. That's what great PLM should feel like. Invisible, frictionless, essential.

Amanda Herbert adds the final piece: sometimes it's not a skill gap at all. When teams consistently underperform, the problem is often the system they're operating in — not the people.

Key takeaways:

• Stop building for PMs. Build with them.

• The best governance is the kind nobody notices.

• Training completion rates mean nothing. Measure behaviour change.

• If the system is blocking the behaviours you want, no process fixes it.

100% of product professionals are using AI. Zero percent said they don't use it at all.

Let that sink in—then consider this: more than a third have absolutely no governance in place.

ProductBoard partnered with User Evidence to survey 379 product professionals across healthcare, finance, SaaS, and more. The findings reveal a massive gap between AI adoption and AI strategy.

In this episode, Ross Webb sits down with Jaselin Drown, Content Marketing Manager at ProductBoard, to unpack what the data actually means for product teams—and why Product Ops professionals have a huge opportunity right now.

Key findings discussed:

→ 96% of product teams use AI consistently

→ 94% of individuals use it daily or often

→ 89% use at least two AI models

→ Only 40% measure ROI in actual business metrics

→ When Product Ops owns tooling decisions, 69% have documented AI policies

If you're in Product Ops or Product Leadership, this is required listening.

Download the full report: [https://bit.ly/4jC4eLN]

Guest: Jaselin Drown, Content Marketing Manager at ProductBoard

Host: Ross Webb, Product Team Success

Connect with Ross: https://www.linkedin.com/in/rosswebb/

Following our frameworks episode,

Ross Webb now brings you the proof in action. Five Product Operations leaders share their transformational success stories, demonstrating how Product Ops delivers measurable business impact—from revenue retention to time savings through automation.

Featured Webinar (September 12th): Join Ross Webb and Anna Prevo for "How Product Operations Enables AI Strategy at Scale"

• See real examples of measurable impact on retention and delivery speed
• Learn to measure team capabilities across four core competencies
• Get tactics that resonate with executives Register now: https://www.productboard.com/events

Success Stories & Key Insights:

1. Ada Johnson - Creating Cross-Team Visibility

• Built repository showing how siloed teams impact each other
• Unlocked economies of scale through collaboration
• Focus on scale, speed, and impact through playbooks
• "Shining a light" on dependencies transforms team effectiveness

2. Orla Mears - Standardisation Without Rigidity

• Unique position to see across entire product organisation
• Spreads best practices whilst remaining flexible
• Prevents PM burnout by putting "wheels under the car"
• "Show them rather than just talking about it"

3. Anna Prevo - Customer Connection to Revenue

• Dramatically increased renewal rates after implementing feedback loops
• Transformed from feature factory to customer-focused development
• Improved morale, reduced bugs, faster delivery
• "You already have Product Ops—it's just hidden in PM time"

4. Aliyah Mohammed - Voice of Customer Evolution

• Started with tech debt, evolved to strategic engine
• Reduced duplication, created meaningful work
• Data-driven prioritisation: "People lie, but data does not"
• Brings together teams that otherwise wouldn't talk

5. Lucy Pitticas-Rothwell - Measuring Impact & AI Automation

• Created framework for measuring non-digital work
• Six types of Product Ops impact defined
• AI automation giving PMs back creative thinking time
• "Siphoning off automatable parts for better business outcomes"

Notable Achievements:

• Renewal Rates: Significantly increased over 2-4 quarters (Anna)
• Time Savings: Hours weekly per PM through AI (Lucy)
• Team Morale: Reduced attrition, increased engagement (Anna)
• Quality: Reduced bugs and release escapes (Anna)
• Strategic Alignment: VOC influencing product strategy (Aliyah)

Key Takeaways:

1. Product Ops impact spans efficiency, strategy, and culture
2. Customer connection directly correlates with revenue retention
3. AI automation frees PMs for creative, strategic work
4. Cross-team visibility unlocks hidden value
5. Flexibility with standards prevents burnout whilst driving consistency

Action Items:

1. Map your cross-team dependencies like Ada
2. Identify best practices to spread across teams
3. Establish customer feedback loops with measurable metrics
4. Define your types of Product Ops impact
5. Explore AI tools to automate repetitive PM tasks

Call to Action: Stop letting your product managers burn out on operational tasks. Start enabling them to solve customer problems and drive business value. Join us September 12th to learn how Product Ops enables AI strategy at scale.

Previous Episode: Part 1 covered frameworks for measuring ROI with Graham Reed, Javier Garcia-Azorres, Tommy Oakes, Chris Compston, and Joe Alim.

Product Operations professionals constantly battle to justify their role whilst simultaneously transforming how product teams work. In this first episode of our two-part series, Ross Webb brings together five Product Ops leaders who've cracked the code on quantifying ROI with concrete frameworks and calculations.

Featured Webinar (September 12th): Join Ross Webb and Anna Prevo for "How Product Operations Enables AI Strategy at Scale"

• Learn the Product Team Success Scorecard
• Discover how to bridge the gap between AI strategy and execution
• Get tactics to shift leadership conversations from process to outcomes Register now:https://www.productboard.com/events

Key Takeaways:

1. Graham Reed - The Time-Saving Framework

• Calculate hourly rates against time saved
• Reallocate saved money towards frontline activities
• Proves Product Ops roles pay for themselves through efficiency gains alone

2. Javier Garcia-Azorres - The Three-Bucket Framework

• Bucket 1: Speed and efficiency through shared methodology
• Bucket 2: Shared language and visibility building trust
• Bucket 3: Shared vision through aligned tooling and dashboards
• Applied to 400+ person organisation to eliminate chaos

3. Tommy Oakes - Product Ops as Product Management for PMs

• Track KPIs just like product teams do
• Focus on enablement metrics: time saved, reduced rework
• Measure cross-functional alignment and team morale
• "Eat our own dog food" with product development lifecycle

4. Chris Compston - Business Impact Over Internal Metrics

• The customer isn't the product team—it's the end customer
• Link Product Ops work directly to business outcomes
• Example: Standardised intake process led to longer-term contracts
• Focus on revenue impact, not just efficiency

5. Joe Alim - Practical AI Tool ROI

• Compare tool costs against time saved
• Example: $200/month tool saving 5 hours = $300 net positive
• Focus on making better decisions that drive revenue
• Usage-based pricing requires careful cost-benefit analysis

Notable Quotes:

• "A typical Product Operations salary can pay for itself in the amount of money saved" - Graham Reed
• "Product Operations is the 'how' to Product Management's 'what' and 'why'" - Javier Garcia-Azorres
• "My customer as a Product Ops professional is the same customer of the product teams" - Chris Compston

Action Items:

1. Calculate your own time-saving metrics using Graham's framework
2. Apply Javier's three-bucket approach to your organisation
3. Define KPIs for your Product Ops function
4. Link at least one Product Ops initiative to business revenue
5. Perform cost-benefit analysis on your current tools

• Next Episode: Part 2 explores real-world implementation stories and measurable impact from Ada Johnson, Orla Mears, Anna Prevo, Aiyah Mohammed, and Lucy Pitticas-Rothwell.

Too often, product managers work as human middleware between data sources and stakeholders, drowning in analysis instead of making strategic decisions that move the needle. Life is short—you need to get your time back.

In this episode, Ross Webb (who built data-driven products generating £50M+ revenue) explores how AI transforms decision-making by automatically analysing customer feedback from every source and synthesising actionable insights whilst you focus on strategy.

What You'll Learn:

• Why extraordinary curiosity is the most important product management skill (and how AI amplifies it)
• How to adapt frameworks to serve your business instead of constraining it
• Why field experience with customers beats desk research every single time
• The customer-obsessed mindset that separates experience leaders from feature builders
• How AI can automate customer feedback analysis and data synthesis from multiple sources

Featured Guests:

• Christoph Bodenstein - Data literacy expert on curiosity-driven analysis and AI transformation
• Harris Kaldis - Framework adaptation specialist on flexible processes and strategic communication
• Michael Cooper - Customer intelligence expert on field experience and direct customer connection
• Alba Simon - Customer experience specialist on friction elimination and consumer empathy
• João Moreira - Startup strategy expert on balancing agility with structured product thinking

Key Takeaways:

• The future belongs to PMs who combine AI-powered data processing with deep customer empathy
• Frameworks should be tools that serve you, not rules that constrain strategic thinking
• Daily customer contact should be non-negotiable for any serious product manager
• AI can handle the heavy lifting of data synthesis, freeing PMs for strategic insight and action

Sponsored by FlowFocus AI - The agentic AI system that connects your entire product stack (Jira, Amplitude, PostHog, roadmapping tools, competitive intelligence) and saves product managers 5-10 hours per week. Because life is too short to be human middleware.

In this essential episode, Lane Shackleton shares crucial insights about navigating AI's transformation of product management. From the concept of a "multi-agent world" to practical frameworks for building resilient product teams, Lane provides a roadmap for product leaders who want to thrive rather than just survive the AI revolution.

Key Takeaways

🤖 The Multi-Agent Reality

• AI agents will increasingly build products without human product managers at the center
• Product managers must embrace curiosity about AI tools and accept that they're completely replaceable
• The human role evolves to focus on empathy and understanding what other humans truly want

⚡ Building Adaptability Muscles

• Systems matter more than goals (referencing James Clear's philosophy)
• Jerry Seinfeld's approach: consistent daily rituals trump sporadic intense efforts
• Focus on repeatable processes that propel you towards objectives

🎯 Decision-Making Excellence

• Craft decision-making rituals from first principles
• Ask: "How do we want people to feel when making decisions in our organization?"
• Design processes that increase decision throughput while maintaining quality

🔄 The Power of Consistency

• Happiness defined as "wanting to continue what you're currently doing"
• Ask yourself: "Is this something I can and want to do consistently?"
• Small, consistent actions compound into significant results

Action Items for Product Leaders

1. Audit Your Current Systems: Identify which processes drive real results vs. which are just busy work
2. Develop AI Curiosity: Regularly experiment with new AI tools and understand their implications for your role
3. Design Decision Rituals: Create structured approaches to how your team makes important choices
4. Focus on Consistency: Choose sustainable practices over sporadic intense efforts

Notable Quotes

"You don't rise to the level of your goals, you fall to the level of your systems." - James Clear (referenced by Lane)

"I think we have to be super curious about everything coming out in AI... Also have to be super empathetic to the idea that I as a product manager am completely replaceable." - Lane Shackleton

Guest Bio

Lane Shackleton is the Chief Product Officer at Coda, where he leads product strategy and development for the innovative document-database hybrid platform. With extensive experience in product leadership and a deep understanding of how AI is transforming the product management landscape, Lane is a thought leader on building adaptable, future-ready product organizations.

Resources Mentioned

• Coda: https://coda.io
• James Clear's principles on systems vs. goals
• Top Prods Community: https://topprods.community

Too often, product managers work as human middleware between their teams and tools, burning out great people with administrative friction instead of building energising high-performance cultures. Life is short—you need to get your time back.

In this episode, Ross Webb (who built product teams at Amazon serving 80,000+ IT professionals) explores how AI transforms team leadership by streamlining management processes, reducing PM stress, and enabling sustainable high performance.

What You'll Learn:

• Why top product leaders think like part-time recruiters and become "talent factories"
• How actively seeking to be wrong makes you a better, more effective leader
• The balance between decision-making authority and collaborative experimentation
• How to drive high performance whilst preventing team burnout and maintaining wellbeing
• How AI can automate performance tracking, workload balancing, and communication coordination

Featured Guests:

• Jordan Burton - Talent development expert on the "talent factory" mindset and ecosystem building
• Harrison Baker - Leadership specialist on curiosity, questioning, and situational reading
• Annika Schmid - Decision-making strategist on reversible vs irreversible choices and rapid experimentation
• Kris Jones - Performance management expert on sustainable high performance and burnout prevention

Key Takeaways:

• High-performance teams aren't about finding perfect people—they're about creating systems for excellence
• The shift from "smartest person in the room" to "surround myself with incredible talent" defines leadership
• Speed of learning often trumps perfection of planning in most product decisions
• AI can eliminate the administrative burden that burns out talented team members

Sponsored by FlowFocus AI - The agentic AI system that connects your entire product stack (Jira, Amplitude, PostHog, roadmapping tools, competitive intelligence) and saves product managers 5-10 hours per week. Because life is too short to be human middleware.