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?

Accountability is one of the most important—and often overlooked—skills in leadership. It’s not about micromanaging or policing your team. It’s about setting people up for success. How? 🤷♀️ Through the three C's of clear expectations, challenging conversations and consistent follow-through. While we all want to believe people will naturally follow through on what they commit to, that doesn’t always happen. And when it doesn’t, too many leaders let it slide. But brushing these moments under the carpet doesn’t help anyone, all it does is erode accountability over time. So, what DO you do?? 1️⃣ Be crystal clear about expectations. Ambiguity is the enemy of accountability. If people don’t know exactly what’s expected of them, how can they deliver? Take the time to clarify actions and responsibilities WITH them, not for them. 2️⃣ Document commitments in 1:1 check-ins. Writing the actions down is REALLY important. It ensures nothing gets lost and sets a reference point for everyone involved. 3️⃣ Explain the 'why.' People are much more likely to follow through if they understand why their actions matter. How does their work contribute to the bigger picture? What’s at stake if it’s not done effectively and efficiently? 4️⃣ Anticipate and address barriers. Ask if there are any obstacles standing in the way of getting the job done. When you help remove these barriers, you’re building trust and giving people every chance to succeed. 5️⃣ Follow up at the agreed time. Don’t leave it to chance—check in when you said you would. Ideally, your team members will update you before you even have to ask. But if they don’t, don’t skip the scheduled follow-up. 6️⃣ Acknowledge effort or address gaps. If the action was completed, recognize the effort. If it wasn’t, outline the expectations for the role and provide specific feedback on what needs to improve. Be transparent about the implications of not meeting role requirements over time, ensuring the person understands both the consequences and the support available to help them succeed. (A lot of people need help to develop the skills to have this conversation!!) 7️⃣ Plan the next steps. Whether the task was completed or not, always end by agreeing on the next steps and setting clear timelines. If you need a lean/leadership coach to work on these areas and help increase accountability right across your organization, then get in touch! It's one of my specialties... 😉 _____________________________________________________ I'm Catherine- a Lean Business and Leadership Coach. I take a practical hands-on approach to helping teams and individuals achieve better results with less stress. Follow me for insights on lean, leadership and more.

Most conversations about AI focus on models. But the real innovation today is happening in how AI thinks, plans, acts, and improves — autonomously. This is where Agentic AI stands apart. Over the past year building agent systems, testing LangGraph, ReAct, ToT, Google A2A, MCP, and enterprise orchestration layers, one pattern has become clear: To build effective AI agents, you need more than prompts or tools — you need a cognitive operating system. Here is a simple, foundational framework called C-O-R-E-F, that captures how autonomous AI agents operate: C — Comprehend The agent understands the input, intent, and context. It reads prompts, data, documents, and knowledge bases to extract goals, constraints, and entities. O — Orchestrate It plans and reasons. The agent selects the best approach, breaks the goal into steps, and chooses the right strategy or chain-of-thought. R — Respond Execution happens. The agent calls tools, APIs, or systems, generates outputs, updates databases, schedules tasks, or creates content. E — Evaluate The agent checks its own work. It compares outputs, validates information, runs tests, or uses an LLM-as-a-judge to detect errors or inconsistencies. F — Fine-Tune The loop tightens. The agent refines its logic based on feedback or logs, learns from outcomes, and improves future performance. This cycle is not linear — it is iterative and continuous. Every advanced agent system eventually converges to this pattern, regardless of framework or model. If you're building agentic systems, start thinking in loops, feedback, and orchestration layers, not just responses. The future of AI belongs to those who design thinking systems, not just powerful models.

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?

Leaders: Stop winging feedback. Use frameworks that drive growth. Giving feedback isn’t easy - but winged feedback often leads nowhere. Without structure, your words might confuse, demotivate, or even disengage your team. Here are 4 feedback frameworks that create clarity, build trust, and drive growth (and 1 to avoid): 1) 3Cs: Celebrations, Challenges, Commitments 🏅  → Celebrate what’s working well. → Address challenges with honesty. → End with commitments for improvement. 2) Situation-Behavior-Impact (SBI) 💡  → Describe *specific* situations. → Focus on observed behavior. → Explain its impact on team or goals. 3) Radical Candor 🗣️  → Care personally while challenging directly. → Show empathy but stay honest. 4) GROW Model: Goal, Reality, Options, Will ⬆️  → Set goals for feedback. → Discuss current reality. → Explore options for growth. → Commit together on action steps. ❌ 5) DO NOT USE: Feedback Sandwich ❌  → Start with something positive. → Address areas needing growth. → Close with another positive. ‼️ This outdated model tends to backfire as people feel manipulated. Structured feedback isn’t just about improving performance. It builds trust, fosters open communication, and creates an environment for continuous learning. ❓Which framework do you use to give feedback? ♻ Share this post to help your network become top 1% communicators. 📌 Follow me Oliver Aust for more leadership insights.

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

Your team isn't lazy. They're confused. You need a culture of accountability that's automatic: When accountability breaks down, it's not because people don't care. It's because your system is upside down. Most leaders think accountability means "holding people responsible." Wrong. Real accountability? Creating conditions where people hold themselves responsible. Here's your playbook: 📌 Build the Base Start with a formal meeting to identify the real issues. Don't sugarcoat. Document everything. Set a clear date when things will change. 📌 Connect to Their Pain Help your team understand the cost of weak accountability: • Stalled career growth • Broken trust between teammates • Mediocre results that hurt everyone 📌 Clarify the Mission Create a mission statement so clear that everyone can recite it. If your team can't connect their role to it in one sentence, They can't make good decisions. 📌 Set Clear Rules Establish 3-5 non-negotiable behaviors. Examples:  • We deliver what we commit to  • We surface problems early  • We help teammates succeed 📌 Point to Exits Give underperformers a no-fault, 2-week exit window. This isn't cruelty. It's clarity. 📌 Guard the Entrance Build ownership expectations into every job description. Hire people who already act like owners. 📌 Make Accountability Visible Create expectations contracts for each role. Define what excellence looks like. Get signed commitments. 📌 Make It Public Use weekly scorecards with clear metric ownership. When everyone can see who owns what. Accountability becomes peer-driven. 📌 Design Intervention Create escalation triggers: Level 1: Self-correction Level 2: Peer feedback Level 3: Manager coaching Level 4: Formal improvement plan 📌 Reward the Right Behaviors Reward people who identify problems early. (not those who create heroic rescues) 📌 Establish Rituals Conduct regular reviews, retrospectives, and quarterly deep dives. 📌 Live It Yourself Share your commitments publicly. Acknowledge your mistakes quickly. Your team watches what you do, not what you say. Remember: The goal isn't to catch people failing. It's to create conditions where:  • Failure becomes obvious  • And improvement becomes inevitable. New managers struggle most with accountability:  • Some hide and let performance drop  • Some overcompensate and micromanage We can help you build the playbook for your team. Join our last MGMT Fundamentals program for 2025 next week. Enroll today: https://lnkd.in/ewTRApB5 In an hour a day over two weeks, you'll get:  • Skills to beat the 60% failure rate  • Systems to make management sustainable  • Live coaching from leaders with 30+ years experience If this playbook was helpful... Please ♻️ repost and follow 🔔 Dave Kline for more.

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]

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

Loop Marketing is here—because AI didn’t just change how we market, it changed where buyers decide. As AI disrupts search, traditional search traffic is dropping. Funnels stalled, email CTRs slid, and “best practices” stopped working. Our answer: a compounding loop built for the AI era. Here’s what AI broke—and how the Loop fixes it: Search splintered: Buyers now decide in feeds, creator networks, communities, reviews, and AI answers—not just Google. The average site’s search traffic is down, so single‑channel SEO plays miss critical moments. Personalization became placeholders: Automation pushed scale over context—messages feel generic, not “they get me.” Content got faster but blander: AI made production easy; distinct brand POVs got diluted. Optimization slowed: Quarterly reviews can’t match weekly shifts in buyer behavior and channels. The Loop (4 stages): Express who you are: Codify ICP, voice, and POV so everything you publish sounds unmistakably you. Tailor your approach: Use unified first‑party + behavioral data to deliver context‑rich interactions. Amplify your reach: Show up where buyers actually decide—social feeds, creators, communities, review sites, and AI engines. Evolve in real time: Predict, monitor, experiment, and iterate in days, not quarters. Why this matters now: Channels multiplied while attention shrank. Buyers trust people, communities, and AI results more than ads. Feedback loops—not one‑and‑done campaigns—create compounding advantage. What teams get with Loop: A style guide that teaches AI to scale a distinctive brand voice—not a generic one. Personalization rooted in unified data and reviewed by humans. Multi‑format content built for humans and bots—discoverable and conversion‑ready. A scorecard across Efficiency, Engagement, Conversion, and Velocity to keep the loop compounding. I’m excited to launch Loop Marketing which was created, written, developed, and tested by the amazing HubSpot marketing team and our customers. Where’s your biggest gap today—Express, Tailor, Amplify, or Evolve? The detailed guide to Loop Marketing is linked in the comments below.  #LoopMarketing #AIMarketing #MarketingStrategy