How to Use Tech for Continuous Improvement

Are you using AI in the most productive way? Many people use AI for quick wins—like drafting emails or summarizing meetings. That’s good, but there’s a better way. Instead of just tossing tasks at AI, have a conversation with it. Delegate, don't abdicate. Here's what I mean:  ✔️ Good: Ask AI to conduct a search.  ✅ Better: Have AI do an in-depth review of studies, summarize key takeaways, and provide source links.  ✔️ Good: Use AI to draft an email or report.  ✅ Better: Write a rough version yourself, then tell AI what you don’t like about it so it can suggest improvements in the exact tone and style you need.  ✔️ Good: Ask AI to summarize a meeting.  ✅ Better: Have AI extract key action items, assign them to team members, and suggest next steps.  ✔️ Good: Use AI to brainstorm ideas.  ✅ Better: Give AI constraints like budget, audience, and timeline so it generates realistic, actionable ideas instead of generic ones. It’s not about replacing what you do—it’s about making space for your most valuable work. The stuff you do best! What’s another tip you'd suggest to improve the way we use AI? #productivity #success #bestadvice #davecrenshaw

Individual templates don’t boost your productivity; templatized systems do. I use Notion to manage my systems, but the specific tool you use isn’t important. Here’s how I manage: 1. 𝐊𝐢𝐜𝐤𝐬𝐭𝐚𝐫𝐭 𝐘𝐨𝐮𝐫 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞𝐬 I used to approach my YouTube videos sequentially, working from start to finish. This often meant it took several weeks to complete even a simple video. After refining my process, creating a YouTube video now follows a systematic 17-step approach, covering everything from ideation to publishing and analytics. The project template itself includes multiple sub-templates, such as one for scriptwriting. While setting up the project template required initial effort, it continues to pay dividends. This shift has enabled me to plan more efficiently and handle multiple tasks simultaneously. 2. 𝐔𝐬𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐌𝐞𝐧𝐢𝐚𝐥 𝐇𝐞𝐚𝐯𝐲 𝐋𝐢𝐟𝐭𝐢𝐧𝐠 I don’t rely on AI to handle my critical thinking; that stays in-house. However, I do use AI to refine grammar, enhance clarity, and remove unnecessary filler words. Before production, for instance, I run my scripts through AI to ensure they read smoothly and are easy to articulate. I also use AI to evaluate my work across various dimensions, identify areas for improvement, and provide qualitative feedback. 3. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐆𝐨𝐚𝐥 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 I conduct weekly planning sessions aligned with quarterly goals. Automating this process involves generating documents periodically from pre-created templates and setting reminders in my calendar to maintain consistency. This system has been integral for over two years, ensuring I never miss a week and allowing me to focus my energy on tasks rather than process maintenance. Productivity isn’t one-size-fits-all; your system should adapt to your workflow, not the other way around. Instead of adopting my system as-is, invest in creating a tailored approach that integrates seamlessly into your existing workflow. Notion has proven to be an excellent tool for this purpose, but regardless of the platform, prioritize systematizing your work to achieve optimal productivity. - Want to try Notion out for yourself? Try it out here: https://lnkd.in/gEWbSiRV

Continuous Service Improvement Many organizations view their ITSM tools as glorified ticketing systems. While incident management is crucial, a modern Service Management approach goes far beyond simply logging and resolving tickets. True excellence lies in leveraging data to drive continuous service improvement. By analyzing trends, identifying patterns, and proactively addressing potential issues, we can transform from a reactive to a proactive service provider. Here's how to go beyond the ticket queue: 📝Data-Driven Decision Making: Utilize your data to identify key performance indicators (KPIs) such as MTTR, CSAT, and service availability. Analyze these metrics to pinpoint areas for improvement. 📝Proactive Problem Management: Don't just fix incidents; identify the root cause and implement permanent corrective/resolution actions to prevent future occurrences. 📝Service Level Agreements (SLAs) as a Roadmap: Use SLAs as a framework for continuous improvement. Regularly review and adjust SLAs based on changing business needs and technological advancements. 📝Embrace Automation: Automate repetitive tasks like incident routing, password resets, and software deployments to free up your team for more strategic activities. 📝Continuous Learning: Encourage a culture of continuous learning within your team. Share best practices, conduct regular training sessions, and stay abreast of the latest ITSM trends and technologies. If we really embrace a data-driven approach and focus on continuous improvement, we can transform our Service Management function from a cost center to a strategic business enabler. #ITSM #ITIL #ServiceImprovement #DataDriven #DigitalTransformation

Technology is changing. So should your approach to continuous improvement. Lean was born in the mid-20th century as a response to manufacturing inefficiencies. There’s been a technological revolution since then. Back then: - time studies were done with stopwatches, pen and paper - charts were drawn by hand - data collection was done manually The old methods are tried and true, but we can do better. Continuous Improvement leaders cannot afford to be Luddites. Here are 4 ways to embrace 21st-century technology in your CI strategy: ✅ Robotic Process Automation (RPA) → Extremely useful for computer-based admin tasks. → Automate repetitive tasks to free up time for value-added activities. → RPA enhances efficiency, reduces human error, and accelerates process cycles. ✅ Agile Framework + Project Management Software → Helps adapt quickly to change. → The best practice for most projects. → Track progress, collaborate seamlessly, and deliver improvements faster. ✅ Real-Time Process Monitoring → provides immediate feedback → allows for faster decision-making and quicker issue resolution. → Use sensors, IoT devices, and data analytics to monitor processes in real-time. ✅Vision Systems → AI-driven vision systems for enhanced quality control and defect detection. → analyze production lines in real-time, improving consistency and reducing waste. Technology is not a threat to CI — it’s the key to unlocking its full potential. How are you embracing 21st-century technology in your Continuous Improvement initiatives? #ContinuousImprovement #Lean #Technology #Innovation #ProcessImprovement #Automation #Agile #RPA #QualityControl #Manufacturing *** 👋 Hi, I'm Michael! 🙏 Thanks for reading my post 📣 Please like, comment, and share 🔔 Turn on notifications & follow so you don't miss a post