Using Feedback Loops to Improve Processes

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?

Getting the right feedback will transform your job as a PM. More scalability, better user engagement, and growth. But most PMs don’t know how to do it right. Here’s the Feedback Engine I’ve used to ship highly engaging products at unicorns & large organizations: — Right feedback can literally transform your product and company. At Apollo, we launched a contact enrichment feature. Feedback showed users loved its accuracy, but... They needed bulk processing. We shipped it and had a 40% increase in user engagement. Here’s how to get it right: — 𝗦𝘁𝗮𝗴𝗲 𝟭: 𝗖𝗼𝗹𝗹𝗲𝗰𝘁 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 Most PMs get this wrong. They collect feedback randomly with no system or strategy. But remember: your output is only as good as your input. And if your input is messy, it will only lead you astray. Here’s how to collect feedback strategically: → Diversify your sources: customer interviews, support tickets, sales calls, social media & community forums, etc. → Be systematic: track feedback across channels consistently. → Close the loop: confirm your understanding with users to avoid misinterpretation. — 𝗦𝘁𝗮𝗴𝗲 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘇𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 Analyzing feedback is like building the foundation of a skyscraper. If it’s shaky, your decisions will crumble. So don’t rush through it. Dive deep to identify patterns that will guide your actions in the right direction. Here’s how: Aggregate feedback → pull data from all sources into one place. Spot themes → look for recurring pain points, feature requests, or frustrations. Quantify impact → how often does an issue occur? Map risks → classify issues by severity and potential business impact. — 𝗦𝘁𝗮𝗴𝗲 𝟯: 𝗔𝗰𝘁 𝗼𝗻 𝗖𝗵𝗮𝗻𝗴𝗲𝘀 Now comes the exciting part: turning insights into action. Execution here can make or break everything. Do it right, and you’ll ship features users love. Mess it up, and you’ll waste time, effort, and resources. Here’s how to execute effectively: Prioritize ruthlessly → focus on high-impact, low-effort changes first. Assign ownership → make sure every action has a responsible owner. Set validation loops → build mechanisms to test and validate changes. Stay agile → be ready to pivot if feedback reveals new priorities. — 𝗦𝘁𝗮𝗴𝗲 𝟰: 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝗜𝗺𝗽𝗮𝗰𝘁 What can’t be measured, can’t be improved. If your metrics don’t move, something went wrong. Either the feedback was flawed, or your solution didn’t land. Here’s how to measure: → Set KPIs for success, like user engagement, adoption rates, or risk reduction. → Track metrics post-launch to catch issues early. → Iterate quickly and keep on improving on feedback. — In a nutshell... It creates a cycle that drives growth and reduces risk: → Collect feedback strategically. → Analyze it deeply for actionable insights. → Act on it with precision. → Measure its impact and iterate. — P.S. How do you collect and implement feedback?

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

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]

After receiving 10,538 pieces of publicly available, real-time feedback in my decade at Bridgewater, I learned a lot of hard lessons about personal development. Avoiding this one mistake when giving feedback tops my list: Assuming you know Why... - You can't read minds - You put them on defense - You often favor your biases Instead, try this: When you ___. -> This is what the camera saw. Only facts. I experienced ___. -> This is where your POV comes in. Which resulted in ___. -> Tie this to team outcomes. 💡Here's an example: When you...reviewed the proposal with the client I experienced...you dismissing their concerns Which resulted in...us losing the deal. ✅ Why this works: - It leaves open the possibility you were wrong - It doesn't propose any motive - It is clear and focused ❌ How you can mess it up: - Surround it with fake compliments and caveats - Offer more feedback before resolving - Add "Because you___" to the end We're doing a free 30-minute lesson to help managers confidently navigate 3 critical conversations: - Your team is underperforming - Your boss is unengaged - Your peer is unhelpful Sign up here: https://lnkd.in/eyNv239g And if you found this post insightful: - Please follow me 🔔 for more Dave Kline - And share ♻️ with your community by reposting

That’s the thing about feedback—you can’t just ask for it once and call it a day. I learned this the hard way. Early on, I’d send out surveys after product launches, thinking I was doing enough. But here’s what happened: responses trickled in, and the insights felt either outdated or too general by the time we acted on them. It hit me: feedback isn’t a one-time event—it’s an ongoing process, and that’s where feedback loops come into play. A feedback loop is a system where you consistently collect, analyze, and act on customer insights. It’s not just about gathering input but creating an ongoing dialogue that shapes your product, service, or messaging architecture in real-time. When done right, feedback loops build emotional resonance with your audience. They show customers you’re not just listening—you’re evolving based on what they need. How can you build effective feedback loops? → Embed feedback opportunities into the customer journey: Don’t wait until the end of a cycle to ask for input. Include feedback points within key moments—like after onboarding, post-purchase, or following customer support interactions. These micro-moments keep the loop alive and relevant. → Leverage multiple channels for input: People share feedback differently. Use a mix of surveys, live chat, community polls, and social media listening to capture diverse perspectives. This enriches your feedback loop with varied insights. → Automate small, actionable nudges: Implement automated follow-ups asking users to rate their experience or suggest improvements. This not only gathers real-time data but also fosters a culture of continuous improvement. But here’s the challenge—feedback loops can easily become overwhelming. When you’re swimming in data, it’s tough to decide what to act on, and there’s always the risk of analysis paralysis. Here’s how you manage it: → Define the building blocks of useful feedback: Prioritize feedback that aligns with your brand’s goals or messaging architecture. Not every suggestion needs action—focus on trends that impact customer experience or growth. → Close the loop publicly: When customers see their input being acted upon, they feel heard. Announce product improvements or service changes driven by customer feedback. It builds trust and strengthens emotional resonance. → Involve your team in the loop: Feedback isn’t just for customer support or marketing—it’s a company-wide asset. Use feedback loops to align cross-functional teams, ensuring insights flow seamlessly between product, marketing, and operations. When feedback becomes a living system, it shifts from being a reactive task to a proactive strategy. It’s not just about gathering opinions—it’s about creating a continuous conversation that shapes your brand in real-time. And as we’ve learned, that’s where real value lies—building something dynamic, adaptive, and truly connected to your audience. #storytelling #marketing #customermarketing

4 loops beat 2, and here's why: Inner and outer loops were fine for 2005. They fix incidents, they close tickets, and they make dashboards look super busy. They also cap your upside and make you measure the wrong thing (e.g., problem solved vs. email delivered). I have seen “closed the loop” everywhere while revenue still leaked and costs kept rising. It's also a dated philosophy that too many push and isn't helping you create long-term customer value. First, some definitions: The inner loop is direct recovery with one customer after a bad moment. The outer loop is fixing the root cause. Useful, but mostly reactive. We cannot solve tomorrow’s problems with yesterday’s control loops. Now, let's modernize the stack a bit, shall we? 1. Recovery loop is 1-to-1 service recovery from any signal, not just surveys. 2. Removal loop is a two-week sprint eliminating the defect and verifying it's gone. 3. Orchestration loop is turning customer signals into the next-best-action for growth and efficiency across flows and channels. 4. Learning loop is the write-back of outcomes so models, rules, and playbooks get smarter, and corporate debt like tech debt gets cut. Closing the loop is a receipt. Compounding the loop is a result. This only works when leaders run it together: CX develops the priority and the value lens from the customer's perspective. Product and Engineering own removal with a real backlog and delivery dates. Sales and Marketing run orchestration so the right accounts get the right nudge or education at the right time. Service and Customer Success lead recovery with clear SLAs and authority to make it right. Data brings the signals together with field level controls. Finance verifies lift and keeps us honest. Legal and Risk set boundaries that protect customers and the brand. You hold a bi-weekly value standup to review prioritization for value at risk and value unlocked. Put it on one page with the owners named. Additionally, have a monthly review with Finance & Executives to greenlight bigger system changes only when the value story is clear. You want to focus on throughput here. Here's a concrete example. A commercial payments portal sees Friday 3 p.m. file upload failures spike. Recovery loop fixes impacted clients within an hour and credits fees where needed. The Removal loop delivers a batch size fix and a clearer progress widget within two sprints. The Orchestration loop sends a short in-app guide on Thursdays to high-risk users and alerts bankers for top accounts. The Learning loop shows failures down 62 percent, Friday contacts down 35 percent, and three at-risk clients adopting premium file services within a month. That is compounding value. Comment 1, 2, 3, or 4 with the loop your team is missing and the single constraint blocking it. Type "Fix the Loop" below, and I will share a Google Doc checklist you can steal for your team. #customerexperience #productmanagement #sales #engineering

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.

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