Using Feedback Loops to Improve Processes

The Paradox of Growth: The Bigger You Get, the Less You Know I came across something that stuck with me: When companies scale, they gain users — but lose understanding. Not because they stop caring, but because their customer feedback starts living everywhere — support tickets, sales calls, forums, surveys, social media, and app store reviews. That thought really made me pause. I’ve seen this firsthand. When a company is small, every piece of feedback feels personal — every bug report or review has a face behind it. But as you grow, those voices scatter across platforms and departments. Support sees the frustration, sales hears the hesitation, leadership sees the numbers — and somehow, everyone’s looking at the same customers, but no one’s hearing them anymore. That, in my opinion, is the quiet cost of growth. This is the problem Enterpret is solving — by helping teams stay in tune with their customers even as they scale. Here’s how it works: → It collects real-time customer feedback from 55+ channels — support tickets, sales calls, social media (X, Reddit, Instagram, Facebook), app store reviews, community forums, surveys, Slack, and more. → It analyzes all that feedback using AI and tells you exactly what to fix or build next. → It maps everything through a customer knowledge graph that connects feedback, complaints, and requests by channel, user, and payment data. → It even provides a chat interface where you can directly ask questions, and AI agents that flag bugs or issues automatically. That’s why teams like Notion, Perplexity, Canva, Chipotle, and The Farmer’s Dog use it — to make sure customer voices never get lost in the noise. In my view, the real lesson here isn’t about using more tools — it’s about staying close to the people you build for. Here’s how I’d approach it: ✅ Centralize every piece of feedback — even if it’s messy. ✅ Look for patterns instead of isolated complaints. ✅ Use AI systems like Enterpret to uncover the “why” behind what customers say. Because in the end, growth shouldn’t make you deaf. It should make you listen better — just faster. How does your team make sure you’re hearing what customers really mean, not just what they say? #CustomerFeedback #AIProducts #ProductStrategy #VoiceOfCustomer #Enterpret #Leadership

Treating AI like a chatbot, AKA you ask a question → it gives an answer is only scraching the surface. Underneath, modern AI agents are running continuous feedback loops - constantly perceiving, reasoning, acting, and learning to get smarter with every cycle. Here’s a simple way to visualize what’s really happening 👇 1. Perception Loop – The agent collects data from its environment, filters noise, and builds real-time situational awareness. 2. Reasoning Loop – It processes context, forms logical hypotheses, and decides what needs to be done. 3. Action Loop – It executes those plans using tools, APIs, or other agents, then validates outcomes. 4. Reflection Loop – After every action, it reviews what worked (and what didn’t) to improve future reasoning. 5. Learning Loop – This is where it gets powerful, the model retrains itself based on new knowledge, feedback, and data patterns. 6. Feedback Loop – It uses human and system feedback to refine outputs and improve alignment with goals. 7. Memory Loop – Stores and retrieves both short-term and long-term context to maintain continuity. 8. Collaboration Loop – Multiple agents coordinate, negotiate, and execute tasks together, almost like a digital team. These loops are what make AI agents more human-like while reasoning and self-improveming. Leveraging these loops moves AI systems from “prompt and reply” to “observe, reason, act, reflect, and learn.” #AIAgents

Innovation is the lifeblood of progress, but it doesn’t happen by chance. It’s cultivated in environments where team members feel safe to share ideas and challenge the status quo. Creating a culture of innovation means nurturing an environment where bold ideas can flourish. It’s about openness, diverse perspectives, and the freedom to experiment. When people feel empowered to speak up, creativity thrives, and true innovation follows. So, how do you create such a culture? 1️⃣ Embed a Growth Mindset: Encourage continuous learning and development across all levels of the organization. Provide resources for professional growth and celebrate learning milestones, fostering an environment where knowledge and skills are constantly evolving. 2️⃣ Facilitate Cross-Functional Collaboration: Break down silos and encourage teams from different departments to work together. Cross-functional projects can bring fresh perspectives and spur innovative solutions that wouldn’t emerge in isolation. 3️⃣ Implement Structured Feedback Mechanisms: Establish regular feedback processes focused on constructive criticism and actionable insights. Ensure psychological safety so team members feel secure, viewing feedback as an opportunity for growth rather than critique. 4️⃣ Encourage Calculated Risks: Promote a culture where calculated risks are welcomed. Empower your team to explore new ideas and approaches without fear of failure. Recognize and reward innovative efforts, even when they don’t result in immediate success. By embedding these principles into your organizational culture, you can pave the way for continuous growth and success. Let’s create spaces where innovation is not just an aspiration but a tangible reality. #Leadership #Innovation #FutureOfWork

HR doesn’t need more dashboards. It needs better listening. Most people teams measure what’s easy…like engagement scores or turnover. But the best teams? They build feedback loops that help them predict problems, not just react to them. This post gives you 11 of the most useful, often-overlooked loops you can implement across the employee lifecycle: 🟢 Week 2 new hire check-ins (capture early impressions) 🟠 Post-interview surveys (from both sides) 🔵 Onboarding reviews (day 90 is your goldmine) 🟡 Skip-level 1:1s (cross-level truth-telling) 🟣 Quarterly team health check-ins (lightweight, manager-led) …and 7 more. 📌 Save this if: • You’re building a modern HR function • You want fewer “We should’ve seen this coming” moments • You believe listening is strategy Which feedback loop is missing in your company?

In a CULTURE of continuous feedback, people aren’t just "allowed" to give feedback; they’re actively encouraged to. It's where feedback isn’t reserved for formal reviews or the occasional meeting; it’s a natural part of daily work. A true CULTURE of continuous feedback means that: ✳️ People share ideas freely, knowing their thoughts are valued. ✳️ Teams regularly check in to discuss what’s going well and where things might need adjustment. ✳️ Leaders and managers seek feedback as much as they give it, showing that everyone’s input matters. ✳️ Constructive criticism is welcomed, and people see it as an opportunity to make things better, not as a judgment on them. If this all sounds very different to your existing culture- here's a few things you can try: ✔️ Set up Regular Check-Ins (Daily huddles, 1:1 coaching sessions and weekly meetings provide the necessary space for people to share their ideas, address challenges, and offer suggestions for improvement. ✔️ Create Feedback Channels: While direct feedback is a sign of a healthy feedback culture, there will always be people who don't like to speak up about how they feel so give people multiple ways to share feedback e.g. through suggestion boxes (physical or digital) or anonymous surveys. ✔️ Lead by Example: Simple- Ask for feedback on your own performance or decisions. If you struggle with this, you need a coach!! ✔️ Encourage Real-Time Feedback: Encourage people to give feedback in the moment rather than waiting for formal reviews or structured meetings. If someone spots an improvement opportunity during a task, they should feel free to speak up right then. ✔️ Recognize and Act on Feedback: Feedback culture only works if people see that their input leads to real change. Yesterday, we talked about recognizing the real experts—the people who do the work. In a feedback culture, this means actively listening to those insights and implementing changes based on what people who carry out the process are seeing and experiencing. They know better than anyone how things really work and where the bottlenecks lie. 💡 This culture isn't built overnight but it's entirely possible to build over time, once leaders are open to their own development and willing to make changes in their own behaviours first! #feedback #feedbackculture #leadership #continuousimprovement #lean #leanmanagement

Every company says they listen to customers. But most just hear them. There's a difference. After spending years building feedback loops, here's what I've learned: Feedback isn't about collecting data. It's about creating change. Most companies fail at feedback because: - They send random surveys - They collect scattered feedback - They store insights in silos - They never close the loop The result? Frustrated customers. Missed opportunities. Lost revenue. Here's how to build real feedback loops: 1. Gather feedback intelligently - NPS isn't enough - CSAT tells half the story - One channel never works Instead: - Run targeted post-interaction surveys - Conduct deep-dive customer interviews - Analyze product usage patterns - Monitor support conversations - Build customer advisory boards - Track social mentions 2. Create a single source of truth - Consolidate feedback from everywhere - Tag and categorize insights - Track trends over time - Make it accessible to everyone 3. Turn feedback into action - Prioritize based on impact - Align with business goals - Create clear ownership - Set implementation timelines But here's the most important part: Close the loop. When customers give feedback: - Acknowledge it immediately - Update them on progress - Show them implemented changes - Demonstrate their impact The biggest mistakes I see: Feedback Overload: - Collecting too much data - No clear action plan - Analysis paralysis Biased Collection: - Listening to the loudest voices - Ignoring silent majority - Over-indexing on complaints Slow Response: - Taking months to act - No progress updates - Lost customer trust Remember: Good feedback loops aren't about tools. They're about trust. Every piece of feedback is a customer saying: "I care enough to help you improve." Don't waste that trust. The best companies don't just collect feedback. They turn it into visible change. They show customers their voice matters. They build trust through action. Start small: 1. Pick one feedback channel 2. Create a clear process 3. Act quickly on insights 4. Show results 5. Scale what works Your customers are talking. Are you really listening? More importantly, are you acting? What's your approach to customer feedback? How do you close the loop? ------------------ ▶️ Want to see more content like this and also connect with other CS & SaaS enthusiasts? You should join Tidbits. We do short round-ups a few times a week to help you learn what it takes to be a top-notch customer success professional. Join 1999+ community members! 💥 [link in the comments section]

One of the best ways to create authentic relationships with your customers, get honest feedback on your product and surface game changing ideas is to create a Customer Advisory Board (CAB). Here are the lessons I’ve learned about how to create and run a successful CAB. Your personal involvement as CEO is critical. If you lead it yourself, customers will engage at a deeper level. They’ll be more honest, more vulnerable, and more likely to become evangelists for your company. No one else can unlock this dynamic the way a CEO can. Be clear on the persona. Is your CAB for buyers, users, or budget holders? At BetterCloud, our sweet spot was Directors of IT. Not the CIO, not the IT admin. Know exactly whose voice you want in the room and tailor everything to them. Skip the compensation, give them “status”. Don’t pay CAB members—it gets messy. Instead, make them feel like insiders. Give them a title, early access to roadmaps, VIP treatment at events, and public recognition. People want to feel valued and influential, not bought. Set a cadence you can maintain. I tried monthly meetings once. That was a mistake. Quarterly is the sweet spot. One in-person gathering per year—ideally tied to an industry event—goes a long way in deepening relationships. Structure matters. CABs aren’t just roundtables. They’re curated experiences. Keep meetings tight (90-120 minutes), show real products that are still in the development process (even rough wireframes or high level ideas), and create space for interaction. Done right, they become the ultimate feedback engine. Build real relationships. Your CAB shouldn’t just exist in meetings. Build one-on-one connections. Text, email, check in at events. Keep it small enough that people feel seen and valued. When they have a direct line to the CEO, they stay engaged—and they speak the truth. Done right, your CAB becomes more than just a feedback mechanism. It becomes a strategic asset. It can shape your roadmap, sharpen your positioning, and strengthen your customer relationships in ways no survey ever could. For a deeper dive and detailed tactics behind each of these, check out the full writeup on the Not Another CEO Substack.

Surveys can serve an important purpose. We should use them to fill holes in our understanding of the customer experience or build better models with the customer data we have. As surveys tell you what customers explicitly choose to share, you should not be using them to measure the experience. Surveys are also inherently reactive, surface level, and increasingly ignored by customers who are overwhelmed by feedback requests. This is fact. There’s a different way. Some CX leaders understand that the most critical insights come from sources customers don’t even realize they’re providing from the “exhaust” of every day life with your brand. Real-time digital behavior, social listening, conversational analytics, and predictive modeling deliver insights that surveys alone never will. Voice and sentiment analytics, for example, go beyond simply reading customer comments. They reveal how customers genuinely feel by analyzing tone, frustration, or intent embedded within interactions. Behavioral analytics, meanwhile, uncover friction points by tracking real customer actions across websites or apps, highlighting issues users might never explicitly complain about. Predictive analytics are also becoming essential for modern CX strategies. They anticipate customer needs, allowing businesses to proactively address potential churn, rather than merely reacting after the fact. The capability can also help you maximize revenue in the experiences you are delivering (a use case not discussed often enough). The most forward-looking CX teams today are blending traditional feedback with these deeper, proactive techniques, creating a comprehensive view of their customers. If you’re just beginning to move beyond a survey-only approach, prioritizing these more advanced methods will help ensure your insights are not only deeper but actionable in real time. Surveys aren’t dead (much to my chagrin), but relying solely on them means leaving crucial insights behind. While many enterprises have moved beyond surveys, the majority are still overly reliant on them. And when you get to mid-market or small businesses? The survey slapping gets exponentially worse. Now is the time to start looking beyond the questionnaire and your Likert scales. The email survey is slowly becoming digital dust. And the capabilities to get you there are readily available. How are you evolving your customer listening strategy beyond traditional surveys? #customerexperience #cxstrategy #customerinsights #surveys

𝑻𝒉𝒆𝒚 𝒉𝒊𝒕 𝒕𝒉𝒆 𝒈𝒐𝒂𝒍. 𝑪𝒆𝒍𝒆𝒃𝒓𝒂𝒕𝒆𝒅. 𝑴𝒐𝒗𝒆𝒅 𝒐𝒏. 𝑻𝒉𝒆𝒏 𝒓𝒆𝒑𝒆𝒂𝒕𝒆𝒅 𝒕𝒉𝒆 𝒔𝒂𝒎𝒆 𝒎𝒊𝒔𝒕𝒂𝒌𝒆𝒔 𝒐𝒏 𝒕𝒉𝒆 𝒏𝒆𝒙𝒕 𝒑𝒓𝒐𝒋𝒆𝒄𝒕. Sound familiar? A team closed a major deal. Leadership congratulated them. Everyone moved on to the next quarter. No one asked: “What made this work? What would we do differently?” Three months later, they tried to replicate the success — couldn’t. Because no one had captured what actually drove the win. McKinsey found that organizations with structured learning processes are 2.5× more likely to sustain performance, yet most skip the debrief and wonder why progress doesn’t stick. 𝘊𝘰𝘯𝘵𝘪𝘯𝘶𝘰𝘶𝘴 𝘪𝘮𝘱𝘳𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘪𝘴𝘯’t 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘩𝘢𝘳𝘥𝘦𝘳 — 𝘪𝘵’𝘴 𝘳𝘦𝘧𝘭𝘦𝘤𝘵𝘪𝘯𝘨 𝘴𝘮𝘢𝘳𝘵𝘦𝘳. 𝑻𝒉𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝑳𝒐𝒐𝒑 High-performing teams don’t just execute. They learn, capture, and apply. 1. Execute → Deliver the outcome 2. Reflect → Ask: What worked (and why)? What didn’t (facts, not blame)? What will we do differently next time? 3. Capture → Store lessons where people actually use them (not slides no one opens) 4. Apply → Embed learnings into the next cycle Most teams stop at Step 1. The best close the loop. 𝑻𝒉𝒆 𝑹𝒉𝒚𝒕𝒉𝒎 𝒐𝒇 𝑰𝒎𝒑𝒓𝒐𝒗𝒆𝒎𝒆𝒏𝒕 Improvement isn’t a project. It’s a practice. Daily: 5-min huddles → “What’s working? What’s stuck?” Weekly: 15-min retros → “What did we learn this week?” Quarterly: Strategic debriefs → “What patterns are emerging?” If reflection only happens when things go wrong, you’re learning too late. 𝐂𝐨𝐦𝐦𝐨𝐧 𝐌𝐢𝐬𝐭𝐚𝐤𝐞𝐬 ❌ Celebrating wins without decoding success ❌ Repeating mistakes because no one reflected ❌ Treating improvement as a one-off project ❌ No feedback loops — teams flying blind 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐓𝐞𝐚𝐦𝐬 𝐃𝐨: ✓ Debrief every outcome — success and failure ✓ Make reflection part of weekly rhythm ✓ Capture insights in living systems, not cluttered docs ✓ Apply relentlessly 𝑻𝒉𝒆 𝒉𝒂𝒓𝒅 𝒕𝒓𝒖𝒕𝒉: If you’re not getting better, you’re getting beaten. The fastest teams aren’t the busiest — they’re the most reflective. Reflect: → When did you last debrief a success to understand what made it work? → Do you have a weekly rhythm for learning — or only during crises? 𝘊𝘰𝘯𝘵𝘪𝘯𝘶𝘰𝘶𝘴 𝘪𝘮𝘱𝘳𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘪𝘴𝘯’t 𝘢𝘯 𝘦𝘷𝘦𝘯𝘵. 𝘐𝘵’𝘴 𝘢 𝘥𝘪𝘴𝘤𝘪𝘱𝘭𝘪𝘯𝘦. P.S. To build this discipline into your leadership rhythm → 𝑻𝒉𝒆 𝑰𝒏𝒏𝒆𝒓 𝑬𝒅𝒈𝒆 https://lnkd.in/gi-u8ndJ #TheInnerEdge #ContinuousImprovement #ExecutionExcellence #LeadershipRhythm #StrategicLeadership

User Feedback Loops: the missing piece in AI success? AI is only as good as the data it learns from -- but what happens after deployment? Many businesses focus on building AI products but miss a critical step: ensuring their outputs continue to improve with real-world use. Without a structured feedback loop, AI risks stagnating, delivering outdated insights, or losing relevance quickly. Instead of treating AI as a one-and-done solution, companies need workflows that continuously refine and adapt based on actual usage. That means capturing how users interact with AI outputs, where it succeeds, and where it fails. At Human Managed, we’ve embedded real-time feedback loops into our products, allowing customers to rate and review AI-generated intelligence. Users can flag insights as: 🔘Irrelevant 🔘Inaccurate 🔘Not Useful 🔘Others Every input is fed back into our system to fine-tune recommendations, improve accuracy, and enhance relevance over time. This is more than a quality check -- it’s a competitive advantage. - for CEOs & Product Leaders: AI-powered services that evolve with user behavior create stickier, high-retention experiences. - for Data Leaders: Dynamic feedback loops ensure AI systems stay aligned with shifting business realities. - for Cybersecurity & Compliance Teams: User validation enhances AI-driven threat detection, reducing false positives and improving response accuracy. An AI model that never learns from its users is already outdated. The best AI isn’t just trained -- it continuously evolves.