Podcast Summary: Work For Humans

Episode: Transform Your Team: Redesigning Work for Clarity and Value | Stephanie Roos & Victoria Stewart
Host: Dart Lindsley
Guests: Stephanie Roos & Victoria Stewart, Co-Founders of Beamible
Release Date: July 8, 2025

Overview

This episode explores the groundbreaking work of Stephanie Roos and Victoria Stewart, co-founders of Beamible, a platform designed to optimize organizational productivity and employee engagement via data-driven work design. The conversation centers on reconciling the needs of business and employees, using practical tools—like the "bubble chart" (or prioritization matrix)—to make visible the tasks that matter most to both. With the rise of AI fundamentally altering the nature of work, they discuss how companies can redesign roles, align leadership and team priorities, harness energizing work, and ultimately transform both productivity and culture.

Key Discussion Points & Insights

1. Origins & Philosophy of Work Redesign

• Recognizing Outdated Work Models
  • Stephanie and Victoria trace their inspiration to their own experience as line managers, struggling with rigid, industrial-era org structures unfit for modern, high-growth businesses.
  • “We came across daily challenges in growing the business and managing teams... It was very obvious to both of us that the way that we thought about getting work done was stale, was rigid and stagnant.” — Stephanie Roos [03:06]
• Outside-In Perspective
  • Not from an HR background, they noticed every individual brings unique capabilities and desires, but existing models ignore this diversity.

2. Human-Centered Work Optimization

• Managers Torn Between Company and Team Needs
  • Most managers feel unequipped to balance the demands of both. Existing programs often hinder more than help.
  • “I really feel for managers because they shouldn't be in that position. Their employees and the company want the same thing, but we don't have visibility into what's going on so that it feels that it's opposed.” — Stephanie Roos [07:31]
• The Power of Visibility & Data
  • Wasted effort drags people from meaningful work; both people and companies crave clarity on what valuable work looks like.
  • AI’s emerging power will further magnify these changes by allowing more effective process simplification.

3. Early Experiments and Lessons Learned

• First Steps: Flexible Roles
  • Initial experiments helped organizations shift roles from full- to part-time by mapping tasks and discerning what could be stopped, automated, or reallocated.
• Energizing Work as a Design Principle
  • They found their first clients naturally cared about human experience—organizations who engaged were motivated to create environments where people could thrive, not just be productive.

4. Multi-Dimensional Analysis — The Beamible Approach

• Beyond Job Titles: Focus on Activities
  • Roles are broken down into discreet activities, using both AI and human input, to capture what’s being done and how people feel about it.
  • Both leadership and frontline employees provide perspectives—often misaligned, which is itself illuminating.
• Importance of Employee Voice
  • Skipping employee perspective risks automating away the most energizing work and inadvertently increasing attrition.

5. Insights from Real-World Studies

• Managers Prefer Technical Work
  • Studies found many technical managers enjoy their expertise-related tasks far more than coaching/management duties—raising questions about job design and career pathways.
• In Engineering: Dependency as a Drag
  • Example: Engineers spent 44% of their time waiting on others, creating friction and inefficiency that could be quantified and addressed.

6. From Data to Action

• Types of Actions Identified

  • Quick wins: Team-level improvements in ways of working, meeting discipline, etc.
  • Process simplification, role redesign (including AI integration), org design, and leveraging technology for greater efficiency.

• Aligning on High-Value Work

  • Data usually reveals significant misalignment (up to 65%) between what leaders and teams consider important. The act of surfacing and discussing the data is itself transformative.
  • “Once you've got the data there to say, listen, we thought this was the most important work. Why are you saying it's not? And having that open conversation with your team, again, who are the experts in the work? Because they do the work.” — Stephanie Roos [25:58]

7. Artificial Intelligence & Outsourcing

• Comparing AI to Outsourcing
  • AI offers cost and speed advantages and keeps knowledge in-house, contrasted with outsourcing which can result in loss of strategic capabilities (e.g., data ownership).
• Strategic Use of Freed Capacity
  • Intentional design is required; letting AI “free up time” without a plan means lost value. Companies must be strategic in redeploying that time, not just reducing costs.
• Skepticism and Optimism about AI's Impact
  • Dart’s healthy skepticism: “If those higher level tasks were valuable today, we'd be doing them... we’re going to reduce the workforce when it comes to it.” — Dart Lindsley [37:19]
  • Stephanie’s optimism: The value equation is changing—some jobs will go, others (relational, strategic, critical) will grow; the key is intentionality and partnership with employees.

8. The Bubble Chart / Prioritisation Matrix

• Explanation & Utility

  • Two axes: Importance to the business (X), energizing to the employee (Y); size = time spent.
  • Key use: Identify and reduce time in low-value, energy-draining work (bottom left) and redeploy capacity to top-right (high-impact, energizing work).
  • Can be multi-dimensional—adding axes such as “prone to human error” or “strategic significance.”
  • “The simplest way to find efficiency opportunities and how to inspire and motivate your workforce is by finding that bottom left quadrant of bubbles of work that are neither important nor not energizing and then stopping, reducing, reallocating, automating or outsourcing...” — Stephanie Roos [45:26]

• Sharing & Ownership

  • The analysis is used both at aggregate and team levels, and sometimes even down to individuals (for identifying attrition risk). Usually, it's anonymized.

• Team Engagement

  • “It'll be the source of a conversation for teams because again, the philosophy is that we want to bring our people on the journey with us.” — Stephanie Roos [50:55]

9. Ownership & Adoption within Organizations

• Who Drives Implementation?

  • While business unit heads & GMs feel the pain and drive the need, it’s often HR (esp. strategic workforce planning and TA) who step into a strategic partnership role.

• Consultancy Partnerships

  • Many Beamible implementations happen via partners/consultants who use the tools to help clients gain visibility.

10. Headwinds & Change Management

• Main Barriers

  • Awareness: Many leaders aren’t aware these approaches exist; seeing data in action is transformative.
  • Industry Expertise: Success comes when pairing the methodology with consultants who have deep functional or industry-specific knowledge.

• HR’s Role

  • Where embraced, HR becomes a strategic partner, using data as an enabler to guide conversations and conversions.

• The Heart of it All: Conversation, Not Just Math

  • “It looks like math because it’s data, but... it’s conversation. What it's about is creating visibility into things that we should talk about so that we can make them better...” — Dart Lindsley [57:00]

Notable Quotes & Memorable Moments

“We just had this moment where we're like, well obviously this isn’t going to be the model for the future, so why don’t we just try and fix it?”
— Stephanie Roos [04:51]

“If you don't understand what people value in their jobs... there’s a very high risk that you’ll either outsource or automate work that is keeping your people there. So you could be triggering attrition...”
— Stephanie Roos [15:46]

“It might just be that we’re really thinking about different personas… the energizing work all centers around particular work activities... drudgery is normally felt the same way.”
— Stephanie Roos [20:59]

“If we're not aligned on what the most important work is, then how can we possibly move forward?”
— Stephanie Roos [26:35]

“You can have both... it's about removing that wasted effort.”
— Stephanie Roos [54:30]

“Leaders love the detail... it’s a blind spot for them. So it makes it easier for them to make decisions once they have access.”
— Victoria Stewart [55:12]

“It looks like math because it's represented as data. But... it's not math, it's conversation.”
— Dart Lindsley [57:00]

“The bubble chart... We call it a prioritization matrix...”
— Stephanie Roos [44:41]

Timestamps for Key Segments

• The "Aha!" Moment & Founders’ Backgrounds: [03:06]–[05:22]
• Manager Experience & Systemic Challenges: [05:37]–[07:31]
• The Importance of Visibility & AI’s Role: [07:31]–[09:09]
• First Experiments: Redesigning Full-Time Roles: [09:21]–[10:35]
• Collecting Data: Leadership vs Employee Perspective: [13:03]–[14:36]
• Activities Not Job Titles: The Power of Task-Level Analysis: [14:43]–[17:07]
• Case Study: Managers Prefer Technical Work: [18:17]–[20:59]
• Aligning Leadership & Team on Priorities: [25:51]–[26:58]
• Types of Action from Insights (Quick Wins to AI): [23:56]–[28:39]
• The Role and Impact of AI vs Outsourcing: [29:43]–[32:49]
• Who Hires Beamible? HR’s Evolving Role: [33:07]–[35:33]
• Redeployment of Freed Capacity: [35:33]–[37:19]
• Debate: Will AI Actually Free Up Higher-Value Work?: [37:19]–[42:02]
• Do General Managers Care About Energy?: [42:02]–[44:14]
• Explaining the Bubble Chart / Prioritization Matrix: [44:14]–[46:42]
• Aggregate vs Individual Data in Bubble Chart: [48:15]–[50:49]
• Team Engagement with Process: [50:49]–[51:44]
• Challenges in Change Management: [54:30]–[58:22]

Further Information & Contacts

• Learn More:
  • LinkedIn: Connect with Stephanie Roos and Victoria Stewart
  • Website: beamible.com (“Beam” for shining a light on hidden inefficiency and “able” for enabling adaptability and agility)

Closing Reflections

• Stephanie Roos: “I’m hiring this job to help me be part of the conversation on what work looks like in the future for the next generation and beyond.” [58:50]
• Victoria Stewart: “Autonomy is a big part of what I hire this job to do… the flexibility to be a parent that we want to be, be a co-founder that we want to be, and work with phenomenal clients.” [60:18]
• Both: Deep value in working with friends, finding purpose, and building something meaningful together.

Final Note
This episode delivers a practical blueprint—backed by data, empathy, and lived experience—for leaders and teams ready to build work environments that serve both business imperatives and human creativity, energy, and joy.