Productivity

The Seven Steps to SUCCESS: A Leadership Blueprint Success is more than a destination; it’s a system. In leadership, success demands clarity, resilience, and action. Break down the word "SUCCESS" to create a framework to drive personal and organizational growth. 1. See Your Goal Clarity is power. Great leaders define the ‘why’ behind their goals. Each goal must be SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) and align with your core values. A team united by purpose wins. TIP: After setting goals, ask: "What does success feel like for each?" It gets your team emotionally invested. 2. Understand the Obstacles Great leaders anticipate hurdles to avoid them. Address: • Internal bottlenecks (ex: workflows, miscommunication) • Disruptive market trends • Resource constraints by prioritizing ruthlessly • Team vulnerabilities by upskilling TIP: Involve your team in identifying obstacles. It drives ownership and innovative solutions. 3. Create a Positive Mental Picture Vision drives momentum. Leaders who visualize success radiate an inspiring energy. • Tell a compelling story • Reframe challenges as opportunities • Celebrate progress to boost morale TIP: Start meetings by revisiting your ‘WHY’ to keep focus. 4. Clear Your Mind of Self-Doubt Doubt kills action. To overcome uncertainty: • Rely on data, insights & instincts • Deconstruct past failures to extract lessons, not fears • Coach your team TIP: Use a daily affirmation (ex: "I trust my intuition and always learn from experience"). 5. Embrace the Challenge Opportunities are often disguised as problems. By embracing challenges, you: • Cultivate a growth mindset • Use mistakes as fuel for innovation • Welcome diverse input TIP: Treat every challenge as a story that's worth telling. 6. Stay on Track Momentum sustains success. The best leaders consistently review and refine. • Revisit key goals & priorities • Enable team members to self-correct • Encourage open feedback loops to fix misalignments TIP: Balance autonomy with adequate support. 7. Show the World You Can Do It Success is measured by results, not effort. Execution is king. • Share wins transparently with stakeholders • Document and communicate lessons learned • Build a legacy by mentoring others TIP: After every project, identify one win and one lesson. This framework isn't just for professional success. You can use it to supercharge growth in all areas of life. Internalize it to lead with purpose and start your journey to SUCCESS today! ♻ Repost if you found this valuable. And follow Eric Partaker for more. 📌 Want to become a world-class CEO? Don't miss our new CEO Accelerator launching soon! Learn more and apply here: https://lnkd.in/dX9-yCRm

💎 Accessibility For Designers Checklist (PDF: https://lnkd.in/e9Z2G2kF), a practical set of cards on WCAG accessibility guidelines, from accessible color, typography, animations, media, layout and development — to kick-off accessibility conversations early on. Kindly put together by Geri Reid. WCAG for Designers Checklist, by Geri Reid Article: https://lnkd.in/ef8-Yy9E PDF: https://lnkd.in/e9Z2G2kF WCAG 2.2 Guidelines: https://lnkd.in/eYmzrNh7 Accessibility isn’t about compliance. It’s not about ticking off checkboxes. And it’s not about plugging in accessibility overlays or AI engines either. It’s about *designing* with a wide range of people in mind — from the very start, independent of their skills and preferences. In my experience, the most impactful way to embed accessibility in your work is to bring a handful of people with different needs early into design process and usability testing. It’s making these test sessions accessible to the entire team, and showing real impact of design and code on real people using a real product. Teams usually don’t get time to work on features which don’t have a clear business case. But no manager really wants to be seen publicly ignoring their prospect customers. Visualize accessibility to everyone on the team and try to make an argument about potential reach and potential income. Don’t ask for big commitments: embed accessibility in your work by default. Account for accessibility needs in your estimates. Create accessibility tickets and flag accessibility issues. Don’t mistake smiling and nodding for support — establish timelines, roles, specifics, objectives. And most importantly: measure the impact of your work by repeatedly conducting accessibility testing with real people. Build a strong before/after case to show the change that the team has enabled and contributed to, and celebrate small and big accessibility wins. It might not sound like much, but it can start changing the culture faster than you think. Useful resources: Giving A Damn About Accessibility, by Sheri Byrne-Haber (disabled) https://lnkd.in/eCeFutuJ Accessibility For Designers: Where Do I Start?, by Stéphanie Walter https://lnkd.in/ecG5qASY Web Accessibility In Plain Language (Free Book), by Charlie Triplett https://lnkd.in/e2AMAwyt Building Accessibility Research Practices, by Maya Alvarado https://lnkd.in/eq_3zSPJ How To Build A Strong Case For Accessibility, ↳ https://lnkd.in/ehGivAdY, by 🦞 Todd Libby ↳ https://lnkd.in/eC4jehMX, by Yichan Wang #ux #accessibility

Last week, I described four design patterns for AI agentic workflows that I believe will drive significant progress: Reflection, Tool use, Planning and Multi-agent collaboration. Instead of having an LLM generate its final output directly, an agentic workflow prompts the LLM multiple times, giving it opportunities to build step by step to higher-quality output. Here, I'd like to discuss Reflection. It's relatively quick to implement, and I've seen it lead to surprising performance gains. You may have had the experience of prompting ChatGPT/Claude/Gemini, receiving unsatisfactory output, delivering critical feedback to help the LLM improve its response, and then getting a better response. What if you automate the step of delivering critical feedback, so the model automatically criticizes its own output and improves its response? This is the crux of Reflection. Take the task of asking an LLM to write code. We can prompt it to generate the desired code directly to carry out some task X. Then, we can prompt it to reflect on its own output, perhaps as follows: Here’s code intended for task X: [previously generated code] Check the code carefully for correctness, style, and efficiency, and give constructive criticism for how to improve it. Sometimes this causes the LLM to spot problems and come up with constructive suggestions. Next, we can prompt the LLM with context including (i) the previously generated code and (ii) the constructive feedback, and ask it to use the feedback to rewrite the code. This can lead to a better response. Repeating the criticism/rewrite process might yield further improvements. This self-reflection process allows the LLM to spot gaps and improve its output on a variety of tasks including producing code, writing text, and answering questions. And we can go beyond self-reflection by giving the LLM tools that help evaluate its output; for example, running its code through a few unit tests to check whether it generates correct results on test cases or searching the web to double-check text output. Then it can reflect on any errors it found and come up with ideas for improvement. Further, we can implement Reflection using a multi-agent framework. I've found it convenient to create two agents, one prompted to generate good outputs and the other prompted to give constructive criticism of the first agent's output. The resulting discussion between the two agents leads to improved responses. Reflection is a relatively basic type of agentic workflow, but I've been delighted by how much it improved my applications’ results. If you’re interested in learning more about reflection, I recommend: - Self-Refine: Iterative Refinement with Self-Feedback, by Madaan et al. (2023) - Reflexion: Language Agents with Verbal Reinforcement Learning, by Shinn et al. (2023) - CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing, by Gou et al. (2024) [Original text: https://lnkd.in/g4bTuWtU ]

The silent productivity killer you've never heard of... Attention Residue (and 3 strategies to fight back): The concept of "attention residue" was first identified by University of Washington business professor Dr. Sophie Leroy in 2009. The idea is quite simple: There is a cognitive cost to shifting your attention from one task to another. When our attention is shifted, there is a "residue" that remains in the brain and impairs our cognitive performance on the new task. Put differently, you may think your attention has fully shifted to the next task, but your brain has a lag—it thinks otherwise! It's relatively easy to find examples of this effect in your own life: • You get on a call but are still thinking about the prior call. • An email pops up during meeting and derails your focus. • You check your phone during a lecture and can't refocus afterwards. There are two key points worth noting here: 1. The research indicates it doesn't seem to matter whether the task switch is "macro" (i.e. moving from one major task to the next) or "micro" (i.e. pausing one major task for a quick check on some minor task). 2. The challenge is even more pronounced in a remote/hybrid world, where we're free to roam the internet, have our chat apps open, and check our phones all while appearing to be focused in a Zoom meeting. With apologies to any self-proclaimed proficient multitaskers, the research is very clear: Every single time you call upon your brain to move away from one task and toward another, you are hurting its performance—your work quality and efficiency suffer. Author Cal Newport puts it well: "If, like most, you rarely go more than 10–15 minutes without a just check, you have effectively put yourself in a persistent state of self-imposed cognitive handicap." Here are three strategies to manage attention residue and fight back: 1. Focus Work Blocks: Block time on your calendar for sprints of focused energy. Set a timer for a 45-90 minute window, close everything except the task at hand, and focus on one thing. It works wonders. 2. Take a Breather: Whenever possible, create open windows of 5-15 minutes between higher value tasks. Schedule 25-minute calls. Block those windows on your calendar. During them, take a walk or close your eyes and breathe. 3. Batch Processing: You still have to reply to messages and emails. Pick a few windows during the day when you will deeply focus on the task of processing and replying to these. Your response quality will go up from this batching, and they won't bleed into the rest of your day. Attention residue is a silent killer of your work quality and efficiency. Understanding it—and taking the steps to fight back—will have an immediate positive impact on your work and life. If you enjoyed this or learned something, share it with others and follow me Sahil Bloom for more in future! The beautiful visualization is by Roberto Ferraro.

My biggest takeaways from Ethan Smith on how to win at AEO (i.e. get ChatGPT to recommend your product): 1. Being mentioned most often beats ranking first. In Google, the #1 blue link wins. In ChatGPT, the answer summarizes multiple sources—so appearing in five citations beats ranking #1 in one. Ethan’s strategy: get mentioned on Reddit, YouTube, blogs, and affiliates. Volume of mentions matters more than any single placement. 2. LLM traffic converts 6x better than Google search traffic. Webflow saw this dramatic difference because users who come through AI assistants have built up much more intent through conversation and follow-up questions, making them highly qualified leads. 3. Early-stage startups can win at AEO immediately, unlike with SEO. Traditional SEO requires years of domain authority. But a brand-new Y Combinator company mentioned in a Reddit thread today can show up in ChatGPT tomorrow. The playing field is finally level. 4. The long tail of AEO is 4x bigger than SEO. People ask ChatGPT questions with 25 or more words (vs. 6 in Google). Ethan found gold in queries like “Which meeting transcription tool integrates with Looker via Zapier to BigQuery?”—questions that never existed in search but are perfect for AI. Own these micro-niches. 5. Reddit is proving to be the kingmaker for AI visibility. ChatGPT trusts Reddit because the community polices spam better than any algorithm. Ethan’s exact playbook: make one real account, say who you are and where you work, give genuinely helpful answers. Five good comments can transform your visibility. No automation, no fake accounts—just be helpful. 6. YouTube videos for “boring” B2B terms are a gold mine for AEO. Nobody makes videos about “AI-powered payment processing APIs”—which is exactly why you should. While everyone fights over “best CRM software,” the high-value, zero-competition long tail is wide open in video. 7. Your help center is now a growth channel. All those “Does your product do X?” questions flooding ChatGPT can be answered by help-center pages. Move them from subdomain to subdirectory, cross-link aggressively, and cover every feature question. Ethan calls this the most underutilized opportunity in AEO. 8. January 2025 was the inflection point in AEO growth. That’s when ChatGPT made answers more clickable (maps, shopping cards, citations) and adoption exploded. Webflow went from near zero to 8% of signups from AI. This channel is accelerating faster than any Ethan’s seen in 18 years. 9. The AEO playbook: (1) Find questions from competitor paid search data, (2) set up answer tracking, (3) see who’s showing up as citations, (4) create landing pages answering all follow-up questions, (5) get mentioned offsite via Reddit/YouTube/affiliates, (6) run controlled experiments, (7) build a dedicated team. This exact process is driving real results at scale.

There are always situations in which you need to communicate fast and clearly. Especially in a crisis, in new situations, or when there is time pressure. The STICC protocol helps you achieve this. The STICC Protocol was developed by psychologist Gary Klein as a tool for managing the unexpected. STICC stands for: Situation, Task, Intent, Concerns, Calibrate and is a technique for productive communication about what to do when you face a new, unexpected situation. This is what it means: S - Situation = Here’s what I think we face. The leader summarizes how they see the situation, problem, or crisis at hand. T - Task = Here’s what I think we should do. The leader explains their plan for addressing the situation, problem, or crisis at hand. I - Intent = Here’s why I think this is what we should do. The leader explains the reasons why they think this is the best way of addressing the situation, problem, or crisis at hand. C - Concerns = Here’s what we should keep our eyes on. The leader mentions possible downsides or future consequences of the solution suggested to be taken into account as well. C - Calibrate = Now talk to me and give me your views. The leader asks others in the team to give their feedback and viewpoints, and especially invites them to disagree and add. This technique helps you in managing pressured situations in three ways: First, once something unexpected happens, it helps to develop appropriate responses. The five steps are aimed at discussing with a team what to do in cases that are not familiar. Through its focus on concrete action, on gathering different viewpoints, and on speed, the STICC protocol is a quick way to take appropriate action in new situations. Second, in step 4 (Concerns), you open up the discussion for further uncertainties and other changes that may follow. In this way, you mentally prepare people that there will always remain uncertainties. This helps in developing a crisis-ready mindset that is not only helpful in the current crisis, but also in the next. Third, the fact that a constructive dialogue takes place also facilitates communication and mutual learning. Even though the leader brings the suggestions here, it is the team together that comes to a solution. And while doing that, they learn together and from each other in an open and adaptive way, which helps further prepare them for future crises. My advice: use STICC whenever you have to communicate fast and clearly. === Follow me or subscribe to my Soulful Strategy newsletter for more: https://lnkd.in/e_ytzAgU #communicationtips #agile #teamexercise

Want to stay motivated every single day? Borrow a strategy from Harvard. Then borrow another from stand up comedy. Together, they’re a powerhouse for momentum, motivation, and mastery. Here’s how it works: Let’s start with Harvard. Researcher Teresa Amabile studied 12,000 daily work diaries across 8 companies. She wanted to know: What truly motivates people on a day to day basis? What she found changed how we understand drive. The #1 driver of daily motivation wasn’t: Money Praise Perks It was progress. The days people made progress on meaningful work were the days they felt the best. Progress isn’t a luxury. It’s a psychological necessity. So how do we make progress feel visible especially on days when it’s not? Use a “Progress Ritual.” → At the end of the day, pause. → Write down 3 small ways you moved forward. → That’s it. No fanfare. Just ritual. This works because we rarely notice our progress in real time. It gets buried under busyness, meetings, and mental noise. The act of looking back gives your brain the reward it needs to keep going. Momentum builds from meaning. Now let’s add some comedy. Young Jerry Seinfeld had one goal: write new material every day. To stay on track, he created a brilliant system. Each day he wrote, he put a big red X on his calendar. Soon, a chain of Xs formed. And here’s the key: Don’t break the chain. One red X becomes two. Two becomes ten. Ten becomes identity. Whether you’re writing, coding, or training Daily action + visual chain = long-term motivation. Summary: The Two-Part Motivation System From Harvard: Record 3 ways you made progress each day. From Seinfeld: Mark an X for each day you show up then don’t break the chain. Progress fuels purpose. Consistency fuels confidence. Apply both and you’ll stay on track especially on the tough days. Because when your days get better, your weeks get better. When your weeks get better, your months get better. When your months get better, your life gets better. It starts with one small win today.

Wikipedia traffic is collapsing — and it’s not just because of AI. Wikipedia just reported an 8% drop in human visits in just a few months. The reason? AI systems — the same ones trained on Wikipedia — are now answering questions instead of sending users there. The free encyclopedia is being replaced by the knowledge it taught. That irony stopped me cold. I’ve always seen Wikipedia as the internet’s moral compass — messy, human, collaborative. When I was learning about anything new, I didn’t go for perfection. I went for context. Now I rarely visit it. AI gives me the answer instantly — but never the understanding that came from scrolling, cross-checking, exploring footnotes. Somewhere along the way, convenience quietly replaced curiosity. Here’s what’s really going on beneath the numbers: → AI is not just summarizing information — it’s absorbing the audience that once sustained the sources. → When answers appear directly on search pages, the human loop of reading, editing, and donating breaks. → And as fewer humans visit, fewer volunteers contribute — shrinking the very ecosystem AI depends on. It’s the classic paradox of automation: AI is killing the teachers it learned from. If knowledge itself is becoming automated, we need to rebuild the habit of participation. Here’s what I believe that looks like: ✅ Credit and link back to the human sources behind AI summaries. ✅ Support open, editable knowledge platforms — not just polished AI outputs. ✅ Remember that understanding comes from reading, not just receiving. Because if we stop feeding the commons of human knowledge, We won’t just lose Wikipedia — We’ll lose the curiosity that made the internet worth exploring in the first place. #AI #Wikipedia #KnowledgeEconomy #AIEthics #Publishing #InformationFuture #DigitalCulture

Saudi Arabia built the world's largest virtual hospital, and we haven't even heard of it. It connects 224 hospitals and treats 400,000 patients a year without a single physical bed. It's called Seha Virtual Hospital in Riyadh, and it just earned a Guinness World Record for being the largest virtual healthcare provider in the world. But how can a hospital be “virtual”? How does it work? → Imagine you live in a small town with only a basic local hospital. → It has doctors and equipment. But if you need a cardiologist or neurologist, you travel 6+ to a bigger city. In urgent situations, people lose lives. → With Seha, specialists treat you remotely through your local hospital - reviewing scans, diagnosing conditions, prescribing treatment - while local staff execute it. That's the model. Specialist expertise delivered through existing hospitals. And here's what makes it work: ▶️ AI prioritizes urgent cases - analyzes CT scans and imaging to rank who needs immediate intervention ▶️ IoT monitors patients remotely - heart failure patients wear devices that alert doctors before hospitalization is needed ▶️ Integrated health records - manages prescriptions and reports across all 224 hospitals in real-time The results? - ICU patients now stay an average of 4 days instead of weeks.  - Stroke patients get CT scans within 25 minutes of arrival. - Treatment starts in 28 minutes.  - Radiology reports in 2 hours. This isn't telemedicine where you video-call a doctor from home. This is expertise delivered through your local hospital without the specialist being physically there. It proves you don't need cardiologists and neurologists in every town. You just need good internet and hospitals willing to collaborate. Do you think virtual hospitals could solve specialist shortages in rural areas? #Entrepreneurship #healthtech #innovation

In today's tech-driven world, our phones can distract us from important moments. Time can slip away unnoticed, and we may regret missing our kids growing up or not being there for our aging parents. Our phones have become an extension of ourselves, but at what cost? ⮕ Studies show the average person checks their phone 96 times a day ⮕ Children often feel they're competing with screens for parental attention ⮕ Excessive device use can lead to missed moments and strained relationships What excessive phone usage could cost: ☹ 𝐄𝐦𝐨𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐢𝐬𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧: We risk creating emotional distance in our closest relationships. ☹ 𝐌𝐞𝐦𝐨𝐫𝐲 𝐋𝐨𝐬𝐬: The most cherished memories are made in moments of genuine presence, not through a screen. ☹ 𝐌𝐞𝐧𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐃𝐞𝐜𝐥𝐢𝐧𝐞: Continuous exposure to screens can lead to increased anxiety, depression, and stress. ☹ 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐈𝐬𝐬𝐮𝐞𝐬: Constant use of devices contributes to eye strain, poor posture, and disrupted sleep patterns. How can we reclaim our lives from our devices? ✅ 𝐒𝐞𝐭 𝐁𝐨𝐮𝐧𝐝𝐚𝐫𝐢𝐞𝐬: Establish no-phone zones, such as the dinner table or during family activities. ✅ 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐃𝐞𝐭𝐨𝐱: Schedule regular breaks from your phone to reconnect with the world around you. ✅ 𝐌𝐢𝐧𝐝𝐟𝐮𝐥 𝐔𝐬𝐚𝐠𝐞: Be intentional about when and how you use your phone, focusing on its purpose rather than mindless scrolling. ✅ 𝐄𝐧𝐠𝐚𝐠𝐞 𝐅𝐮𝐥𝐥𝐲: Prioritize face-to-face interactions and be present in conversations and activities. Our devices are tools meant to enhance our lives, not control them Challenge yourself to a 24-hour phone-free period this weekend. Use this time to reconnect with family, engage in a new activity, or simply be present in your surroundings. What steps will you take today to be more present with your loved ones? #parenting #children #relationship