Enhancing User Satisfaction Metrics

🚀 #TeachMeTuesday: “Failure is an option (2024)” — Why SpaceX out-innovates traditional aerospace Today I pick up a few papers assessing the overall innovation approach and success of SpaceX, and to generate lessons for overall innovation strategy at the firm and country-level. In reality, SpaceX is operating more like a software company than an old-school aerospace giant: → Fast test loops → Learning-driven innovation → Governance that enables failure and iteration The papers show that its innovation system is built on governance mechanisms that embrace failure. For those aiming to accelerate progress in critical technologies — from advanced manufacturing to climate tech to AI — understanding this model might be key. How does SpaceX deliver over 100 launches a year, while cutting costs and iterating faster than state programs? 👉 A great new paper by Vittori et al. (2024) — "Failure is an option: How failure can lead to disruptive innovations"https://lnkd.in/eE8f2hJR — dives deep into how SpaceX systematically designs failure into its governance: → High test cadence → Failure-tolerant engineering culture → Management insulation from public/political backlash → Reuse and rapid iteration 👉 In parallel, Ansar & Flyvbjerg (2022) — "How to Solve Big Problems: Bespoke Versus Platform Strategies" https://lnkd.in/e9k3XjmH show that SpaceX’s platform-based approach (versus NASA’s bespoke project model) delivers: ✔️ 10x cost savings ✔️ 2x faster development ✔️ Lower systemic risk Some interesting facts that are more recent. 📊 SpaceX 2024–25: The governance-driven innovation system in numbers: Launch cadence: 🛰️ 134 Falcon 9 launches in 2024 — more than 50% of global orbital launches Reuse rate: 🔁 ~80% booster reuse (some boosters with 25+ flights) → AINvest 💰 ~$62 million per Falcon 9 launch — nearly 20x cheaper per kg than the Space Shuttle 🌐 Ecosystem feedback & platform thinking Cai et al. (2024) — "SpaceX’s Network Effects and Innovation Strategy Analysis" — further show how SpaceX’s ecosystem works https://lnkd.in/egh94Bmd Starlink → feeds launch revenue More launches → improve learning → funds Starship A true commercial + technological feedback loop 🚀 Prof. Bent Flyvbjerg SpaceX Elon Musk, Tesla and SpaceX News by Newslines Claire Jolly Marit Undseth dominique guellec Mattia Olivari

In UX, we talk a lot about what users think, but we rarely study how their attitudes actually change over time. Most research still relies on one-time surveys like SUS, NPS, or post-test ratings. These snapshots are useful, but they tell us almost nothing about how trust grows, how frustration accumulates, or how confidence rises and collapses after a single confusing update. Attitudes are not steady states. They are trajectories shaped by experience. There are scientific ways to track those trajectories. Continuous-Time SEM lets researchers measure how satisfaction or trust evolves in real time, even if we collect feedback at irregular moments. A streaming app can trigger a question after each session and see exactly when enjoyment starts to drop, so recommendations can intervene before disengagement sets in. Latent Transition Analysis helps us understand how people move between hidden states such as novice, intermediate, competent, or stuck. Instead of guessing who needs help in onboarding, we can calculate the probability a user will progress or remain frustrated and then redesign tutorials to move them forward. Bayesian Hierarchical Models solve a common UX problem. What if we do not have huge samples like consumer apps do? With twenty or thirty enterprise users, traditional statistics break down, but Bayesian methods still model growth and decline in attitudes. They can reveal that confidence improves for new employees but decreases for experts after a redesign, a pattern that would otherwise remain invisible. Joint Modeling goes further by connecting attitude trends with real outcomes such as churn. It can show that a drop in usability or motivation predicts cancellation two weeks before users actually leave, turning measurement into prevention. One of the most powerful and practical tools is Hidden Markov Modeling. Instead of relying on surveys, it infers emotional states from behavior like hesitation, rage clicks, repeated backtracking, or abandoned tasks. It detects frustration even when people are silent, revealing emotional shifts that traditional surveys fail to capture. If you want to go deeper into these methods and see more concrete examples, I put together a full breakdown on the blog. You can read it here: https://lnkd.in/eY_Nwme2

Target gives real-time feedback to their employees every 3 seconds. Every time a cashier scans an item, they see color-coded feedback on their screen: 🟢 Green = On pace 🟡 Yellow = Slightly behind 🔴 Red = Need to speed up After each transaction, they see their average speed (creating a personal benchmark). Studies from Alibaba's warehouses show real-time feedback improves efficiency by 7.0%, with notable gains across all performance levels.1 Gallup also found 80% of employees who receive meaningful weekly feedback are fully engaged, suggesting recency matters.2 The problem with traditional performance reviews is that by the time you tell someone they're off track, habits are already formed. They don't know what they're being rewarded for or what they should change. Real-time feedback removes the ambiguity. Workers adjust in the moment and their performance improves immediately. This doesn’t simply apply to cashiers though. Many frontline roles, from restaurant service to healthcare documentation to manufacturing, could benefit from clearer, immediate feedback. Setting clear goals and providing timely feedback, and tools that provide staff real-time coaching, equips them to succeed.

The ROI of Listening: How Engagement Drives the Bottom Line "Engagement is HR fluff," declared Michael, the CFO of a mid-sized tech company. "Show me the numbers. Show me how this impacts our bottom line." As a finance leader with 20 years of experience, Michael believed in hard metrics—revenue, profit margins, operational costs. Employee engagement surveys? Those were just feel-good exercises that produced colorful charts but no actionable financial insights. His perspective changed dramatically when the company implemented Maxwell's real-time engagement analytics. For the first time, Michael could see the direct correlation between engagement metrics and financial outcomes. The data revealed startling patterns: Teams with declining engagement scores experienced 34% higher turnover, costing the company an average of$1.2 million annually in replacement costs alone. Projects led by managers with low listening scores took 28% longer to complete and had 3x more scope creep, directly impacting profit margins. Departments with high engagement scores generated 23% more revenue per employee and had 41% higher customer satisfaction ratings. "I was looking at engagement all wrong," Michael admits. "It's not a soft metric—it's a leading indicator of financial performance." The ROI became undeniable. By investing in Maxwell's real-time engagement platform, the company: Reduced turnover by 22% in the first year, saving over$800,000 in replacement costs. Improved project delivery times by identifying and addressing team friction points early. Increased innovation output by creating a culture where employees felt safe sharing ideas. Enhanced customer satisfaction by ensuring client-facing teams felt valued and supported. The most powerful insight? Traditional annual surveys had missed critical engagement dips that occurred between measurement periods. Maxwell's continuous listening approach allowed leaders to address issues in real-time, preventing small concerns from becoming expensive problems. "Now I understand," Michael says. "Listening isn't just good for employees—it's good for business. Every day we fail to hear our people is a day we're leaving money on the table." Are you measuring what matters? See the ROI of listening with Maxwell: https://lnkd.in/gR_YnqyU #EmployeeEngagement #BusinessROI #PeopleAnalytics #LeadershipInsights #WorkplaceCulture

Use Gen AI and Data Analytics to retain customers. Here’s how I built an automated flow that turns feedback into loyalty. 𝐓𝐡𝐞 𝐠𝐨𝐚𝐥 Retaining a customer is much more profitable than acquiring a new one. Yet many companies overlook what matters most: the customer's voice. So I designed a system that listens, analyzes, and acts — without writing a single line of code. 𝐓𝐨𝐨𝐥𝐬 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐝 - Make as the orchestration platform. - Google Forms to collect feedback. - Google Sheets to store the data. - OpenAI (GPT 4.1 Nano) for sentiment analysis. - Power BI (ok... you can also use Looker 🙄 ) to analyze and visualize insights. From Nov 2021 you can directly connect Google Sheets to Power BI. - Gmail and Google Docs to trigger actions. - (Your excitement when it all comes together). 𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐰𝐨𝐫𝐤? 1. The customer leaves a review via a form ("name", "email", "opinion"). 2. It's automatically stored in Google Sheets. 3. The AI processes the opinion: → Classifies the sentiment (positive, negative, neutral). → Assigns a sentiment score from -1 to +1. → Extract the keyword that determines that sentiment. 4. This table connects to Power BI, where: → You monitor customer sentiment in real time. → Spot dissatisfaction patterns before they escalate. → Analyze sentiment evolution by segment, product, or channel. → Prioritize customer support actions based on data. → Share clear, actionable dashboards with your team. 5. From there, 3 automated actions are triggered: 🟢 Positive opinion: Sends a thank you email and adds reward points for next purchase (gamification strategy). 🔴 Negative opinion: Generates a document with key details so the Support team can respond (human-led, not automated). Remember it is cheaper keep a client that get a new one. 🔄 All opinions: Sends an email to the admin with token usage (hello 🤚🏽 Data Governance). 𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭? A system that: - Listens to your customers. - Drives real decisions. - Strengthens loyalty, seamlessly. If you had this level of insight on customer sentiment right now… what would you do differently?

There is only one type of company that will survive in the future. And no, this has nothing to do with AI. It’s the companies that collect, manage, and act on customer feedback. A few years ago, I was preparing to roll out a new program focused on enablement, education, and engagement. Instead of building it in a vacuum, I interviewed 20 different customers to get their feedback on what I was planning. Not only did this shape the final design, but when I rolled it out, I shared back with the broader customer base how their peers’ voices had directly influenced what we built. That one decision did three things instantly: 1️⃣ Showed we cared. 2️⃣ Illustrated that we listen. 3️⃣ Encouraged even more customers to share in the future. And the program? It became one of our most successful launches. Feedback isn’t just “nice to have.” It’s your survival strategy. Because when customers tell you what’s working and what’s not they’re giving you a free roadmap to: ❗ Fix broken experiences before they become deal breakers. ❗ Double down on what’s driving loyalty and expansion. ❗ Spot emerging needs before your competitors do. But here’s the part most leaders miss: every team in the business can tap into customer feedback and act on it. ✅ Marketing can refine messaging by listening to how customers describe their wins and struggles. ✅ Sales can tailor discovery questions based on feedback about what attracted (or repelled) prospects. ✅ Support sees trends in recurring tickets that point to product or education gaps. ✅ Services hears firsthand how onboarding and implementation shape customer confidence. ✅ Product can prioritize the features that customers say would truly move the needle. ✅ Customer Success uncovers both risks and expansion opportunities through ongoing conversations. ✅ Finance can better forecast retention and growth by understanding feedback-driven health signals. The insights are everywhere. The real power comes when companies can connect the dots across all teams and turn feedback into coordinated action. And this is where I see the biggest roadblock: Companies struggle to manage feedback across the business in a meaningful way. It’s siloed, scattered, and often disconnected from strategy. So let me ask: Is this a challenge you’re seeing in your organization too?

Most hospitals wait 12 months to see HCAHPS scores improve. One Texas health system did it in three months, with a 14.8% increase. Here’s how: HCAHPS surveys tell you what went wrong after the patient goes home. By then, it’s too late to fix. This hospital stopped waiting for surveys to reveal problems and started solving them in real time. They standardized feedback loops during rounds: ✅ Room cleanliness issue? Housekeeping is alerted instantly and addresses the issue within the hour. ✅ Medication confusion? A Pharmacist visit automatically gets scheduled before discharge. ✅ Slow response times? The charge nurse redistributes assignments that shift. Same process, same standard, same immediate action. The results: → 14.8% improvement in staff responsiveness → 10.1% increase in environment ratings → 10.9% boost in medication communication HCAHPS measures what happened. Standardized rounding workflows prevent problems before they become scores. When you fix issues while patients are still in your care, you don't wait a year to see results. You see them in real time because that's when care actually happens.

"We thought we knew our customers. We were wrong.” Some time ago, I asked our team a seemingly simple question: “How do we actually know if our customers are truly satisfied?” The room fell silent. Sure, we had feedback loops, a support inbox, the occasional client call. But no consistent system. No north star. And yet, we talked about being customer-centric every single day. That was the tipping-point and we had to radically shift: we need to become customer obsessed and customer centricity is not negotiable. Nice to be excited about our own product and service, but if our customers see it differently?.... We decided to use the Net Promoter Score (NPS) frequently. And not just measure it, but live by it. The problem: We had not a clear, quantifiable way to track customer loyalty or satisfaction over time. Everyone loves "gut feeling", but that's not a strategy. Especially not in an environment where switching costs are low, and customer expectations are high. The solution: We built NPS into the core of our business rhythm. Every quarter, we ask our users one simple question: “How likely would you recommend us to a friend or colleague (on a scale between 0 and 10)?” This gives a score from -100 to +100. Anything above 0 is considered ok. Above 50 is excellent. Responses are categorized as promoters (9-10), passives (7-8), and detractors (0-6). But the real value: it forces the organization to listen, learn and act. Fast. We track responses across cohorts, products, and geographies. And we follow up—immediately. What we uncover is gold: usability issues, friction in onboarding, moments where we overdelivered. The impact: NPS became a lens through which we view our customer relationships. We discovered that "promoters" are 5 to 10 times more likely to stay, extend the partnership, and refer. We also learned that "passives" can be converted—if we’re willing to listen. And we follow up with "destractors" immediately. And we saw a direct correlation between rising NPS and lower churn. Today, we don’t just track NPS. We talk about it in leadership meetings. We celebrate improvements. And when it drops, we investigate—not to assign blame, but to learn. Looking back, I wouldn’t call it a “metric.” I’d call it a cultural shift, a mindset shift. It made us sharper. More focused. And truly customer-centric—not just in words, but in action. Our #NPS improved from minus 5 (3 years ago) to plus 65 these days. Super proud of the ARION team and the ambition to move from great to excellent. NPS won’t solve everything. But it will tell you exactly where to start.

Communication gaps and weak feedback loops hurt business success. [Client Case Study] A large hospital network noticed declining patient satisfaction scores. Even with state-of-the-art facilities and technology, patients reported feeling unheard, frustrated, and confused about their care plans. The executive team assumed the problem was with staff training or outdated workflows. ‼️ Mistake: Relying on high-level reports and not direct frontline feedback. Nurses, doctors, and administrative staff communicate differently based on their backgrounds, generations, and roles. - Senior physicians prefer face-to-face or email communication - Younger nurses and tech staff rely on instant messaging and digital dashboards - Patients (especially elderly ones) need clear verbal explanations, but many received rushed instructions or digital paperwork ‼️ Mistake: Differences weren't acknowledged and crucial patient information was lost, leading to errors, frustration, and decreased trust. Frontline staff experienced communication challenges daily but lacked a way to share them with leadership in a meaningful way. ❌️ Reporting structures were too slow or ineffective. Feedback was either ignored, filtered through multiple levels of management, or only addressed after major complaints. ❌️ Executives made decisions based on outdated assumptions. They focused on training programs instead of fixing communication systems. ❌️ Systemic decline Employee burnout increased as staff struggled with inefficient systems. Patient satisfaction declined, leading to lower hospital ratings and reimbursement penalties. Staff turnover rose, increasing costs for recruitment and training. 💡 The Solution: A Multi-Channel Communication Strategy & Real-Time Feedback Loop ✅ Physicians, nurses, and patients receive information in ways that align with their preferences (e.g., verbal updates for elderly patients, digital dashboards for younger staff). ✅ Digital tool that allows staff to flag communication issues immediately rather than waiting for annual surveys. ✅ Executives hold regular listening sessions with frontline employees to better understand challenges before making changes. The Result - Patient satisfaction scores improved - Employee engagement increased - Operational efficiency improved Failing to adapt communication strategies and strengthen feedback loops affects reputation, retention, and revenue. (The 3Rs of a successful organization.) Frontline operations directly impact customer and employee experiences. This hospital’s struggle isn’t unique. Every industry faces the risk of misalignment between leadership decisions and frontline realities. Weak feedback loops and outdated communication strategies create costly inefficiencies. If your employees don’t feel heard, your customers won’t feel valued. Business suffers. Are you listening to the voices that matter most in your business? If not, it’s time to start.

I’ve been a huge fan of Tom Fishburne for years since we were classmates at Harvard Business School. Tom started drawing cartoons on the backs of HBS business cases, which evolve to become his famous and insightful Sky Deck cartoons.  I was always on the lookout for them. I invite my connections across all industries to subscribe to Tom’s insightful newsletter. Last week’s issue particularly resonated with me. Tom highlighted that labeling an idea as polarizing can quickly kill it, as businesses usually avoid such ideas in favor of safer, more universally appealing ones. However, there’s power in polarization. Trying to appeal to everyone often results in appealing to no one. In a cluttered world, the last thing a company can afford is to create indifference. Several years ago, I was helping the innovation group of a large carrier and saw firsthand the graveyard of idea killers. Many innovative ideas, often originating from those in the field who directly experience pain points, did not make it past the first round of evaluation. To help this carrier effectively evaluate innovative ideas and develop a repeatable process, we implemented a few key strategies: 1. Idea Champion Program: We assigned champions to promising ideas to advocate for them, gather feedback, and iterate on the concepts. 2. Cross-Functional Evaluation Committees: We created committees with members from various departments to ensure diverse perspectives in idea evaluation. 3. Fail Fast, Learn Faster: We encouraged a culture where failure is acceptable as long as we learn from it quickly. Prototyping and piloting ideas in controlled environments helped us make informed decisions. 4. Customer-Centric Approach: We focused on ideas that directly addressed customer/staff pain points, involving these stakeholders early in the development process. 5. Regular Review Cycles: We established regular review cycles for all submitted ideas to ensure they received proper attention. By implementing these strategies, we helped the carrier create an environment where innovative ideas could thrive. This process not only brought new solutions to the market but also fostered a culture of creativity and continuous improvement. Remember, the goal is not to avoid polarization but to harness it. Great ideas often provoke strong reactions, and that’s where their power lies. By creating a structured process to evaluate and nurture these ideas, we can ensure that they have the opportunity to make a significant impact. https://lnkd.in/eWfV_a-t