Virtual Innovation Collaboration

After spending three decades in the aerospace industry, I’ve seen firsthand how crucial it is for different sectors to learn from each other. We no longer can afford to stay stuck in our own bubbles. Take the aerospace industry, for example. They’ve been looking at how car manufacturers automate their factories to improve their own processes. And those racing teams? Their ability to prototype quickly and develop at a breakneck pace is something we can all learn from to speed up our product development. It’s all about breaking down those silos and embracing new ideas from wherever we can find them. When I was leading the Scorpion Jet program, our rapid development – less than two years to develop a new aircraft – caught the attention of a company known for razors and electric shavers. They reached out to us, intrigued by our ability to iterate so quickly, telling me "you developed a new jet faster than we can develop new razors..." They wanted to learn how we managed to streamline our processes. It was quite an unexpected and fascinating experience that underscored the value of looking beyond one’s own industry can lead to significant improvements and efficiencies, even in fields as seemingly unrelated as aerospace and consumer electronics. In today’s fast-paced world, it’s more important than ever for industries to break out of their silos and look to other sectors for fresh ideas and processes. This kind of cross-industry learning not only fosters innovation but also helps stay competitive in a rapidly changing market. For instance, the aerospace industry has been taking cues from car manufacturers to improve factory automation. And the automotive companies are adopting aerospace processes for systems engineering. Meanwhile, both sectors are picking up tips from tech giants like Apple and Google to boost their electronics and software development. And at Siemens, we partner with racing teams. Why? Because their knack for rapid prototyping and fast-paced development is something we can all learn from to speed up our product development cycles. This cross-pollination of ideas is crucial as industries evolve and integrate more advanced technologies. By exploring best practices from other industries, companies can find innovative new ways to improve their processes and products. After all, how can someone think outside the box, if they are only looking in the box? If you are interested in learning more, I suggest checking out this article by my colleagues Todd Tuthill and Nand Kochhar where they take a closer look at how cross-industry learning are key to developing advanced air mobility solutions. https://lnkd.in/dK3U6pJf

The real gap between digital leaders and laggards isn’t just in technology—it's in mindset. The 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐃𝐢𝐯𝐢𝐝𝐞 isn’t about who has the best tools; it’s about who knows how to wield them. The difference between average and excellent isn’t in the number of systems implemented but in the strategic intent behind them. True digital transformation isn’t just an IT initiative—it’s a company-wide movement, a reimagining of what’s possible when leadership, innovation, and agility align. 𝐖𝐡𝐚𝐭 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐋𝐨𝐨𝐤𝐬 𝐋𝐢𝐤𝐞: • 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: CIOs and CTOs leading the charge, with an inward focus on IT infrastructure. • 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐎𝐯𝐞𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Tracking efficiency and business performance without a broader view towards future capabilities. • 𝐂𝐚𝐮𝐭𝐢𝐨𝐮𝐬 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬: Proceeding with digital steps without the urgency to outpace the evolving market demands. • 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Maintaining the status quo in operations, favoring predictability over agility. • 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝 𝐓𝐨𝐨𝐥 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧: Providing employees with collaboration tools without fostering a culture of digital innovation. • 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Concentrating on backend upgrades before considering the customer-facing aspects of the business. • 𝐒𝐢𝐥𝐨𝐞𝐝 𝐃𝐚𝐭𝐚 𝐔𝐭𝐢𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Using data for routine business operations rather than as a cornerstone for transformation and innovation. 𝐖𝐡𝐚𝐭 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐭 𝐋𝐨𝐨𝐤𝐬 𝐋𝐢𝐤𝐞: • 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐓𝐨𝐩: Transformation championed by CEOs, integrating digital priorities within the company’s vision. • 𝐂𝐨𝐦𝐦𝐢𝐭𝐦𝐞𝐧𝐭 𝐭𝐨 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Measuring success through the lens of innovation and digital proficiency. • 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐨𝐧: Not merely adapting but actively advancing digital initiatives, even in challenging economic climates. • 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐠𝐢𝐥𝐢𝐭𝐲: A culture that embraces operational efficiency as a path to competitive advantage. • 𝐏𝐞𝐨𝐩𝐥𝐞 𝐚𝐬 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐲: Investing in employee engagement and digital literacy, recognizing that technology amplifies human potential. • 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Prioritizing the customer experience with a strategy that adapts proactively to their needs and behaviors. • 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬: Leveraging AI and data analytics not only to inform decisions but to foster a culture of continuous improvement. 𝐅𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞: https://lnkd.in/eU_Cc3ga ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

💎 60 UX Strategy Methods And Activities (Figma) (https://lnkd.in/eCDU-vhR), a large repository of UX methods, templates and activities for ideation sessions and product sprints, from storyboards and brainwriting to 6 thinking hats, journey mapping and concept testing. Neatly put together in one single place by fine folks at Merck. The team has also put together a very thorough overview of their UX Strategy Kit (https://lnkd.in/ek5dEYn4), broken down by categories for strategy, observation, ideation and warm-up, along with detailed video walkthroughs, examples and step-by-step guides. Frankly, most of these methods are unfamiliar to me. And by no means is the point to actually study and apply all of them. What works for you works for you. To strategize, I rely on How Might We but also think about metrics that should be moved once we implement some features or refine some user flows. For event storming and brainstorming, I tend to rely on Bono’s 6 thinking hats to align brainstorming, and (of course) journey mapping. For ideation, I love using storyboards to jump right into the user’s success story, but would also use card sorting with cut-out paper cards to understand user’s mental model. And for almost every project, I’d run concept testing with tree testing or Kano model, or low-fidelity/paper prototyping to understand if we are on the right track. Once you sprinkle a bit of critical thinking, early user testing and strategic planning across the design work, you gain confidence that you are moving in the right direction. And really that’s all you need. A few of my personal bookmarks with UX methods and activities: UX Tools For Better Thinking, by Adam Amran 👏🏽 https://untools.co/ Playbook For Universal Design (+ PDF/Powerpoint templates) https://lnkd.in/ernris4g UX Methods & Projects, by Vernon Fowler https://lnkd.in/eAHaiaSm 18F Method Cards https://methods.18f.gov/ Hyperisland UX Methods Resource Kit 👍 https://lnkd.in/eDTaci7T How To Design Better UX Workshops, by Slava Shestopalov https://lnkd.in/edxqCC-n How To Run UX Workshops With Users, by yours truly https://lnkd.in/ejm7_TsS Happy designing, everyone — I hope you’ll find these guides and resources helpful to get started. Just don’t feel like you have to try out all of them. It might be much more worthwhile to get early feedback from stakeholders and end users, even if your work isn’t really “good” enough. Good luck! #ux #design

Teams will increasingly include both humans and AI agents. We need to learn how best to configure them. A new Stanford University paper "ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams" reveals a range of useful insights. A few highlights: 💡 Human-AI Role Differentiation Fosters Collaboration. Assigning distinct roles to AI agents and humans in teams, such as CEO, Product Manager, and Developer, mirrors traditional team dynamics. This structure helps define responsibilities, ensures alignment with workflows, and allows humans to seamlessly integrate by adopting any role. This fosters a peer-like collaboration environment where humans can both guide and learn from AI agents. 🎯 Prompts Shape Team Interaction Styles. The configuration of AI agent prompts significantly influences collaboration dynamics. For example, emphasizing "asking for opinions" in prompts increased such interactions by 600%. This demonstrates that thoughtfully designed role-specific and behavioral prompts can fine-tune team dynamics, enabling targeted improvements in communication and decision-making efficiency. 🔄 Iterative Feedback Mechanisms Improve Team Performance. Human team members in roles such as clients or supervisors can provide real-time feedback to AI agents. This iterative process ensures agents refine their output, ask pertinent questions, and follow expected workflows. Such interaction not only improves project outcomes but also builds trust and adaptability in mixed teams. 🌟 Autonomy Balances Initiative and Dependence. ChatCollab’s AI agents exhibit autonomy by independently deciding when to act or wait based on their roles. For example, developers wait for PRDs before coding, avoiding redundant work. Ensuring that agents understand role-specific dependencies and workflows optimizes productivity while maintaining alignment with human expectations. 📊 Tailored Role Assignments Enhance Human Learning. Humans in teams can act as coaches, mentors, or peers to AI agents. This dynamic enables human participants to refine leadership and communication skills, while AI agents serve as practice partners or mentees. Configuring teams to simulate these dynamics provides dual benefits: skill development for humans and improved agent outputs through feedback. 🔍 Measurable Dynamics Enable Continuous Improvement. Collaboration analysis using frameworks like Bales’ Interaction Process reveals actionable patterns in human-AI interactions. For example, tracking increases in opinion-sharing and other key metrics allows iterative configuration and optimization of combined teams. 💬 Transparent Communication Channels Empower Humans. Using shared platforms like Slack for all human and AI interactions ensures transparency and inclusivity. Humans can easily observe agent reasoning and intervene when necessary, while agents remain responsive to human queries. Link to paper in comments.

The National Institute of Standards and Technology (NIST) has released a draft of its “Cybersecurity Framework Profile for Artificial Intelligence” (open for public comment until Jan 30, 2026) to help organizations think about how to strategically adopt AI while addressing emerging cybersecurity risks that stem from AI’s rapid advance. Building on the #NIST Cybersecurity Framework 2.0, the Cyber AI Profile translates well-established risk management concepts into AI-specific cybersecurity considerations, offering a practical reference point as organizations integrate AI into critical systems and confront AI-enabled threats. The Cyber AI Profile centers on three focus areas: • Securing AI systems: identifying cybersecurity challenges when integrating AI into organizational ecosystems and infrastructure. • Conducting AI-enabled cyber defense: identifying opportunities to use AI to enhance cybersecurity, and understanding challenges when leveraging AI to support defensive operations. • Thwarting AI-enabled cyberattacks: building resilience to protect against new AI-enabled threats. The Profile complements existing NIST frameworks (CSF, AI RMF, RMF) by prioritizing AI-specific cybersecurity outcomes rather than creating a standalone regime.

𝟏𝟎 𝐂𝐲𝐛𝐞𝐫𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 𝐌𝐨𝐬𝐭 𝐓𝐞𝐚𝐦𝐬 𝐈𝐧𝐡𝐞𝐫𝐢𝐭 - 𝐍𝐨𝐭 𝐂𝐡𝐨𝐨𝐬𝐞 ! A big customer asks for SOC 2. A regulator mentions ISO or NIST. Suddenly your “strategy” becomes a messy stack of rules that nobody can clearly explain. Frameworks were meant to reduce confusion. Not multiply it. Here’s the truth 👇 If you remove the logos, most cybersecurity frameworks answer the same few questions: – What are we protecting, and how critical is it? – Which controls reduce real attacks first? – How do we prove trust to customers and regulators? – How do we improve over time instead of ticking boxes once? That’s it. The 𝟏𝟎 𝐦𝐚𝐣𝐨𝐫 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 simply sit at different points of that map. Some shape strategy: ➤ NIST CSF gives structure and direction Some formalize governance: ➤ ISO 27001 / 27701 turn security into a certifiable system Some drive action: ➤ CIS Controls tell engineers where to start Some build external trust: ➤ SOC 2, PCI DSS, HIPAA, HITRUST speak auditor language Some go deep where risk is highest: ➤ CSA CCM, NIST 800-53, 800-171 for cloud and government needs 𝐓𝐡𝐞 𝐦𝐢𝐬𝐭𝐚𝐤𝐞? Treating frameworks like competing religions. Strong 𝐭𝐞𝐚𝐦𝐬 𝐬𝐭𝐚𝐜𝐤 𝐭𝐡𝐞𝐦. One shapes strategy. One drives execution. One proves trust. Over time, the question changes from: “𝐀𝐫𝐞 𝐰𝐞 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 𝐰𝐢𝐭𝐡 𝐗?” To: “𝐖𝐡𝐢𝐜𝐡 𝐦𝐢𝐱 𝐛𝐞𝐬𝐭 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐬 𝐨𝐮𝐫 𝐫𝐢𝐬𝐤 𝐬𝐭𝐨𝐫𝐲 𝐭𝐨 𝐭𝐡𝐞 𝐩𝐞𝐨𝐩𝐥𝐞 𝐰𝐡𝐨 𝐦𝐮𝐬𝐭 𝐭𝐫𝐮𝐬𝐭 𝐮𝐬?” That’s when frameworks stop being paperwork and start acting like an operating system for security. Which framework actually helps your team make better decisions today? 👇 Which one does your organization rely on most right now? ------------ Hi, I'm Harris D. Schwartz 𝐅𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐈𝐒𝐎 𝐚𝐧𝐝 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐋𝐞𝐚𝐝𝐞𝐫. I help CEOs and executive teams strengthen their security posture and build resilient, compliant organizations. With 𝟑𝟎+ 𝐲𝐞𝐚𝐫𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐍𝐈𝐒𝐓, 𝐈𝐒𝐎, 𝐏𝐂𝐈, 𝐚𝐧𝐝 𝐆𝐃𝐏𝐑, I know how the right security decisions reduce risk and protect growth. If you are planning how your security program needs to evolve in 2026, this is the right time to have that conversation. #CyberSecurity #SecurityFrameworks #RiskManagement #CISO #ISO27001 #NIST #SecurityStrategy

❌ Is remote work KILLING innovation? 👀 Last week, Nike's CEO John Donahoe blamed working-from-home for the company falling behind on innovation. 🧑💻 He said that it’s tough to be disruptive when people are working remotely. In an interview with CNBC, Donahoe was asked about the company’s lack of fresh new products in its assortment, which had been a concern among investors. 🎙 “What’s been missing is the kind of bold, disruptive innovation that Nike’s known for & when we look back, the reasons are fairly straightforward,” said Donahoe. He pointed out that footwear factories in Vietnam were forced to close during the pandemic but “even more importantly,” Nike’s employees worked from home for over 2 years... ☠️ “In hindsight, it turns out, it’s really hard to do bold, disruptive innovation on Zoom,” Donahoe said. 📈 The Nike teams came back together 18 months ago in person, and the company says they are feeling a positive change. Ever since, the company has been ruthlessly focused on rebuilding its innovation pipeline, not-from-home. 🤨 But is it true that disruption cannot be achieved remotely? What does the data say? Studies on the impact of WFH on innovation show mixed results: → A study from Stanford University suggests that fully remote work can lead to approximately 10% lower productivity compared to in-person, which might affect innovation negatively due to challenges like reduced communication & cultural cohesion. → McKinsey also found that remote work might limit tasks requiring physical presence or specialized equipment, which would be the case when you're prototyping new shoes, in Nike's case. 🙅 However, not all sources confirm the above statements: → Harvard Business School highlighted that remote work can potentially lead to different types of innovation, spurred by greater access to talent who prefer or require remote work arrangements. ✅ Automattic, for example, the company behind WordPress, runs entirely remotely and is known for its strong innovation culture. They utilize 'async' communication & autonomous work practices, allowing employees to work on what they think will benefit the company most, without rigid schedules or physical meetings. 🚀 Many other large tech companies like monday.com or Telegram Messenger -who can be called pretty innovative- also succeed in remote innovation. The WFH model has definitely led to successful examples of innovation, proving that remote work CAN indeed lead to disruptive innovation. ⬇️ To wrap up: while remote work surely presents challenges to innovation, it can also lead to new opportunities for creativity & problem-solving that wouldn't have surfaced in a traditional office setting. What do you think? 💬👇 #innovation #wfh #remote #futureofwork #nike #business

🌐 "How can we lead inclusive team meetings when our team is so widely distributed across timezones?" That's a question our #Inclusion Strategy team at Netflix has been reflecting on quite a bit lately – and that's surely not an issue we face alone. Here are some ideas that popped up as we put our geographically distance heads together to ensure that everyone has an equal opportunity to participate in discussions that are relevant to all: 1️⃣ Establish a Meeting Time Rotation: to ensure fair participation, create a rotating schedule for your meetings. This means alternating meeting times to accommodate different time zones, so that each team member has an opportunity to attend during their regular working hours on a rotating basis. 2️⃣ Consider Core Overlapping Hours: identify the core overlapping hours when the majority of team members are available. Aim to schedule important meetings during these hours to maximize attendance. This may require some flexibility from all team members, but it fosters a sense of shared responsibility for ensuring everyone's voice can be heard. 3️⃣ Prioritise Meeting Relevance: ensure that meetings are called only when it's essential for all team members to be present. Avoid scheduling meetings for routine updates that can be shared asynchronously, giving team members more flexibility to manage their schedules. 4️⃣ Create Pre-Meeting Materials: provide agendas, and key discussion points well in advance, so team members who cannot attend live sessions can still contribute their input asynchronously. This way, everyone can stay informed and engaged in the decision-making process. 5️⃣ Encourage Rotating Facilitation: consider rotating meeting facilitators to accommodate different time zones. This not only distributes the responsibility but also allows team members from various geographies to lead discussions and bring diverse perspectives to the forefront. 6️⃣ Use Inclusive Meeting Technologies: leverage virtual meeting tools with features like real-time chat and polling to foster engagement from all participants, regardless of their location. Consider having all meetings recorded by default (unless there's a compelling reason not to), streamlining access to the team immediately after each recording is ready. 7️⃣ Promote Open Feedback Channels: establish channels for team members to asynchronously provide feedback on meeting times and themes, and communication methods. 8️⃣ Acknowledge and Respect Personal & Cultural Differences: be mindful of cultural practices and observances that may impact team members' availability or participation. Strive to do the same about individuals' needs, too (like dropping kids at school). These strategies can help create an inclusive and equitable approach to meetings, enhancing the chances of all team members feeling valued and empowered to contribute. How else can you foster that? 🤔

AI isn't just a tool; it's becoming a teammate. A major field experiment with 776 professionals at Procter & Gamble, led by researchers from Harvard, Wharton, and Warwick, revealed something remarkable: Generative AI can replicate and even outperform human teamwork. Read the recently published paper here: In a real-world new product development challenge, professionals were assigned to one of four conditions: 1. Control Individuals without AI 2. Human Team R&D + Commercial without AI (+0.24 SD) 3. Individual + AI Working alone with GPT-4 (+0.37 SD) 4. AI-Augmented Team Human team + GPT-4 (+0.39 SD) Key findings: ⭐ Individuals with AI matched the output quality of traditional teams, with 16% less time spent. ⭐ AI helped non-experts perform like seasoned product developers. ⭐ It flattened functional silos: R&D and Commercial employees produced more balanced, cross-functional solutions. ⭐ It made work feel better: AI users reported higher excitement and energy and lower anxiety, even more so than many working in human-only teams. What does this mean for organizations? 💡 Rethink team structures. One AI-empowered individual can do the work of two and do it faster. 💡 Democratize expertise. AI is a boundary-spanning engine that reduces reliance on deep specialization. 💡 Invest in AI fluency. Prompting and AI collaboration skills are the new competitive edge. 💡 Double down on innovation. AI + team = highest chance of top-tier breakthrough ideas. This is not just productivity software. This is a redefinition of how work happens. AI is no longer the intern or the assistant. It’s showing up as a cybernetic teammate, enhancing performance, dissolving silos, and lifting morale. The future of work isn’t human vs. AI. The next step is human + AI + new ways of collaborating. Are you ready?

The danger with virtual teams is that feedback is only one-to-one.     Individual feedback in virtual settings can leave people trying to improve in isolation, without realising their developmental issues might be connected with how the whole team is functioning.    Research results from 38 studies suggest remote teams thrive with group awareness - when feedback is on team processes as well as performance results. It is less impactful when people get isolated reviews that miss the bigger picture.    The key is to bring challenges into shared problem solving. Instead of only having individual feedback conversations, first bring it to the team and ask, ‘What’s getting in the way and how can we work together more effectively?’    💫 If you’d like to find out more about this topic, or other evidence-based updates on leadership, you’re welcome to sign up for our newsletter here: https://lnkd.in/e9dskesG #CoachAdviser #remoteteams #virtualteams #feedback