User Experience

𝗡𝗮𝗶𝘃𝗲 𝗥𝗔𝗚 𝘄𝗼𝗿𝗸𝘀 𝗶𝗻 𝗮 𝗱𝗲𝗺𝗼. 𝗜𝘁 𝗳𝗮𝗶𝗹𝘀 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝗿𝗲𝗮𝗹 𝘂𝘀𝗲𝗿𝘀 𝘀𝗵𝗼𝘄 𝘂𝗽. Embed → retrieve → generate looks clean in a notebook. Real requirements break it: → Questions whose answer is spread across many documents → Industry terms that embeddings get wrong → Bad chunks the pipeline never catches → Answers that live in how things connect, not in any single chunk → PDFs full of tables and images a text-only index cannot read These 5 architectures are how serious teams stay ahead in the agentic AI era: 𝟬𝟭 𝗛𝘆𝗯𝗿𝗶𝗱 𝗥𝗔𝗚 → Dense vectors find meaning. BM25 finds exact words. → Reciprocal Rank Fusion combines both ranked lists. → A safe baseline for almost every team. 𝟬𝟮 𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 → Pull entities and their relationships into a knowledge graph. → Retrieve subgraphs and community summaries, not chunks. → Best when the answer lives in how things connect. 𝟬𝟯 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 → A planner agent picks the right tool: vector, web, or SQL. → A reasoner agent keeps trying until the answer is solid. → Retrieval becomes a plan, not a single step. 𝟬𝟰 𝗖𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝘃𝗲 𝗥𝗔𝗚 (𝗖𝗥𝗔𝗚) → Grade every retrieval before you trust it. → Correct → answer. Unclear → rewrite the query. Wrong → search the web. → This is what production RAG actually looks like. 𝟬𝟱 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗥𝗔𝗚 → One embedding model (CLIP, ColPali) for text, images, and tables. → One vector index. One multimodal LLM. → No more separate pipelines for PDFs with charts. I built a runnable example for each of the five patterns. GitHub link in the first comment. The best teams in 2026 do not pick one. They combine them — hybrid retrieval inside an agentic loop, with a corrective grader, over a multimodal index. Naive RAG is a starting point, not a finish line. That is why most enterprise GenAI projects stall at the demo. Which of these five becomes the default RAG stack in the next 18 months — and which stays a specialized tool?

🗺️ AirBnB Customer Journey Blueprint, a wonderful practical example of how to visualize the entire customer experience for 2 personas, across 8 touch points, with user policies, UI screens and all interactions with the customer service — all on one single page. AirBnB Customer Journey (Google Drive): https://lnkd.in/eKsTjrp4 Spotify Customer Journey (High-res): https://lnkd.in/eX3NBWbJ Now, unlike AirBnB, your product might not need a mapping against user policies. However, it might need other lanes that would be more relevant for your team. E.g. include relevant findings and recommendations from UX research. List key actions needed for next stage. Add relevant UX metrics and unsuccessful touchpoints. That last bit is often missing. Yet customer journeys are often non-linear, with unpredictable entry points, and integrations way beyond the final stage of a customer journey map. It’s in those moments when things leave a perfect path that a product’s UX is actually stress tested. So consider mapping unsuccessful touchpoints as well — failures, error messages, conflicts, incompatibilities, warnings, connectivity issues, eventual lock-outs and frequent log-outs, authentication issues, outages and urgent support inquiries. Even further than that: each team could be able to zoom into specific touch points and attach links to quotes, photos, videos, prototypes, design system docs and Figma files. Perhaps even highlight the desired future state. Technical challenges and pain points. Those unsuccessful states. Now, that would be a remarkable reference to use in the beginning of every design sprint. Such mappings are often overlooked, but they can be very impactful. Not only is it a very tangible way to visualize UX, but it’s also easy to understand, remember and relate to daily — potentially for all teams in the entire organization. And that's something only few artefacts can do. Useful resources: Free Template: Customer Journey Mapping, by Taras Bakusevych https://lnkd.in/e-emkh5A Free Template: End-To-End User Experience Map (Figma), by Justin Tan https://lnkd.in/eir9jg7J Customer Journey Map Template (Figma), by Ed Biden https://lnkd.in/evaUP4kz Free Figma/Miro User Journey Maps Templates https://lnkd.in/etSB7VqB User Journey Maps vs. Service Blueprints (+ Templates) https://lnkd.in/e-JSYtwW UX Mapping Methods (+ Miro/Figma Templates) https://lnkd.in/en3Vje4t #ux #design

This week brought more evidence of the rapidly changing media landscape, highlighted through a fascinating lens: the US political sphere and how its players are engaging diverse, key audiences. As presidential campaigns often serve as harbingers of communication trends, their approaches are worth noting for anyone in the field. In just two days recently, Vice-President Harris appeared on five major media platforms: from traditional outlets like 60 Minutes and The View to podcasts like Call Her Daddy and the Howard Stern Show, and finally, late-night TV with Stephen Colbert. This blend of traditional and newer media points to an essential evolution in how leaders think about audience reach. Harris' appearances on platforms like Call Her Daddy and Howard Stern—channels that skew younger and often different from traditional news outlets—are not accidental. They reflect a deliberate strategy to meet diverse, influential audiences where they are. Former President Donald Trump also has mixed traditional and direct media, in particular when he's been focused on reaching young men. He's showed up on the Logan Paul podcast, as well as Theo Vonn and Tim Pool, and is scheduled for Joe Rogan this week. This is a key lesson for us as communicators: Reaching decision-makers today requires an evolving media mix that includes creators, influencers, and platforms that resonate across generational lines. It’s easy to assume these channels serve only consumer audiences. But let’s remember: Millennials and Gen Z aren’t just consumers—they’re BDMs, developers, and CxOs, as well as customers of products like GitHub Copilot and Microsoft 365. Many of them aren’t consuming traditional media like CNBC or The Times of India daily. So, if we want to reach these future decision-makers, we need to engage them where they already are, from TikTok to niche podcasts. As communicators, it's vital that we continually refresh our media consumption habits to match this new reality. Start conversations about what your audience is listening to, watching, or reading—whether it’s newsletters, podcasts, or even news on social platforms. It’s one of the best ways to understand the shifting landscape and ensure we’re telling the right stories in the right places. Let’s continue to challenge ourselves to think about the evolution of media, ensuring we’re balancing traditional outlets with the dynamic, influential platforms of tomorrow. In communications, evolution isn’t just an option; it’s a necessity.

I can’t stop thinking about this. If you invest in your people from day 1, they’ll invest their talents in your company tenfold. It sounds obvious, but I’ve seen firsthand how often this gets missed. I joined companies and startups with zero training: - no documentation - unclear processes - no real onboarding I was expected to figure it out as I went, and honestly, it was brutal 😭 So here’s what *actually* sets people up for success: —— 1️⃣ What does a new hire need to know but feels awkward asking? Think back to your first 30 days. ↳ How do things actually work here? ↳ Where do I go for answers? ↳ What mistakes should I avoid early on? If the answers live only in someone’s head, that’s the gap. ✅ Document anything you explain more than once. —— 2️⃣ Where are people guessing instead of being guided? When training doesn’t exist, people improvise. ↳ Clicking the wrong thing ↳ Following outdated steps ↳ Copying work that isn’t quite right That’s how errors and rework happen. Tools like Tango make this easy by turning workflows into step-by-step guides. ✅ Record one common task this week and turn it into a reusable guide. —— 3️⃣ What tribal knowledge needs to be documented? You know it’s a systems problem when there are: ↳ Constant pings ↳ Repeating the same answers ↳ Little time for deep work ✅ Have your strongest team member document one core process they own. —— 4️⃣ Are you onboarding people or overwhelming them? More information doesn’t mean better onboarding. People need: ↳ Clear priorities ↳ Time to practice ↳ Space to build confidence ✅ Use a simple 30-60-90 day framework for all new hires —— 5️⃣ Are expectations clear or just assumed? When expectations are vague: ↳ People second-guess themselves ↳ Feedback comes too late ↳ Performance feels personal instead of fixable ✅ Check in early and often and schedule 20-minute check-ins with your manager or onboarding buddy in the first 8 weeks. —— When you give people the right tools, training, and support, you get: → Faster onboarding → More consistent processes → Fewer mistakes and support tickets → Happier, more confident employees 💙 You can’t expect people to thrive without setting them up properly. Set people up to win and they will 🫶 Do you agree? #TangoPartner

Conservationists like to think facts speak for themselves. They don’t. In a world where allegiance often trumps evidence, who delivers the message often matters more than what’s being said. The same data, spoken by a nurse instead of a scientist, can land differently. In Amazonia, credibility travels along social lines. Farmers listen to agronomists, not activists. Urban families may heed pediatricians warning about heat-related illness before they trust an NGO ad. Pastors, teachers, and co-op leaders often reach places journalists and policymakers cannot. Matching voice to audience isn’t a branding exercise; it’s simply being honest about how people decide what to believe. That realism also means differentiating the message without diluting it. Indigenous leaders remain central, both as stewards and as narrators of success on their lands. Yet many who influence the forest’s future—like mayors, truckers, ranchers, and small business owners—don’t identify with Indigenous causes. Messages typically work best when they’re tailored to their audience: stewardship told as rainfall insurance for farmers, public-health policy for city dwellers, and fiscal stability for mayors who need predictable budgets. The goal isn’t to make everyone an environmentalist; it’s to make the forest relevant to each person’s daily choices. None of this can be faked. Trust is borrowed first and earned slowly. It grows when people see that acting on information pays, as in lower bills, steadier harvests, clearer skies, or fewer fires. For communicators, the task is to equip credible messengers with verified, usable material: sermon guides, WhatsApp videos, radio spots, farm bulletins, and committee briefs. Over time, authority shifts from the messenger to the message itself. What saves the forest, in the end, may not be a single voice but a variety—each carrying the same plain facts: e.g. protecting forest keeps rain falling; law in the Amazon means law at home; standing forest cools the air; healthy ecosystems make for healthy economies. Repetition stops being spin and starts being education. Once that logic comes from trusted voices, it no longer sounds like activism. It just sounds obvious. [I contributed a section on how to communicate about the Amazon for 'The Endangered Amazonia' report, published by COICA ORG this week. This is the second of three parts summarizing my contribution. This one is titled, "Why the messenger matters in efforts to save the Amazon] 👉 The report: https://lnkd.in/gpZs8JBW

6 Follow Up Templates That Keep Networking Conversations Alive: 1. The Value-First Follow Up Aim to add value to an initiative you know they're working on: "Hi Sarah, saw your company just announced the new product launch. I came across this article on similar launches in your industry. Thought it might spark some ideas for your marketing strategy. Hope the launch prep is going smoothly!" 2. The Specific Question Angle Asking specific questions shows credibility and can get you info you can use to add value: "Hey David, been thinking about our coffee chat last week. You mentioned struggling with team retention in H2. Have you tried implementing "retention interviews" yet? I saw 3 companies in tech reduce turnover by 40% using them, here's a link to that data." 3. The Introduction Offer Networking is hard (as you know!). Offering to make an intro is a great way to add value to two people: "Hi Jessica, following up from our chat. You mentioned needing a UI/UX designer for that new AI feature. My former colleague Anna just went freelance and she's brilliant. She redesigned our entire app in 6 weeks last year. Happy to make an intro if you're still looking!" 4. The Industry Update Hook Leveraging a shift in the market or industry can be a great way to spark a follow up conversation: "Hey Marcus, did you see [Company]'s new Slack-free hours announcement? It directly impacts what we discussed about interrupted work and team output. Could be something worth looking into for your team?" 5. The Achievement Celebration Everyone loves to be recognized for their achievements. Be that person! "Lisa! Just saw you got promoted to VP on LinkedIn. I remember you mentioned being in an interview process when we met for coffee. I know how stressed you were about the interview with the C-Level. Looks like you crushed it! Would love to hear about your new role if you're up for a chat in the next week or two." 6. The Resource Share Sharing resources aligned with your contact's needs is one of the best ways to stay top of mind: "Hi Tom, I know you'd mentioned how much time your sales team was spending on pre-qualification. A connection of mine just shared an AI automation flow that solves for that exact problem. He said it's saved his team 15+ hours per week and led to more sales. I grabbed a copy if you'd like to see it. Just let me know!" —— ➕ Follow Austin Belcak for more 🔵 Ready to land your dream job? Click here to learn more about how we help people land amazing jobs in ~3.5 months with a $44k raise: https://lnkd.in/gdysHr-r

How we saved 10+ hours weekly by giving finance a simple interface. Our finance team was processing invoices the same way for years: 1. Email attachments → 2. Manual download → 3. Print → 4. Physical signature → 5. Scan → 6. Manual data entry The entire cycle took 3-5 days. The request to "build a proper approval system" kept getting deprioritized—it felt like a multi-month project. We reframed the problem: We didn't need a complex system. We just needed to connect two things: the data from our accounting software's API and a simple list where the right people could click "Approve" or "Reject." What actually got built: • A single-page app that pulls unpaid invoices automatically • Logic that routes invoices over $5k to directors, others to managers • A comment field for rejections • A basic audit log showing who approved what and when What changed: ✅ Approvals now happen in under 24 hours ✅ The finance team stopped chasing paper trails ✅ Vendors get paid faster ✅ Every decision is logged automatically The takeaway: Sometimes "digital transformation" isn't about big platforms. It's about giving a team one less PDF to manage by building a simple, focused tool that sits on top of the data they already use. What's the most stubborn, repetitive task in your team's workflow? Often the highest-impact tools are the smallest ones that remove a single point of friction. https://uibakery.io/ #ProcessAutomation #FinanceTech #OperationalEfficiency #DigitalTransformation

A substantive policy decision has come out of France, where the government has committed to phasing out US based collaboration platforms across public administration in favor of a domestically developed alternative. The rationale is not novelty or protectionism, but governance. France will require public officials to move away from platforms including Zoom, Microsoft Teams, Google Meet, WhatsApp, and Telegram Messenger, shifting instead to state approved tools such as Visio for videoconferencing and Tchap for messaging. Visio is developed under the authority of the Interministerial Digital Directorate and runs on French infrastructure. It is already used by tens of thousands of civil servants, with a target of broad adoption across government by 2027. https://lnkd.in/efbMG5NN Collaboration platforms are not neutral tools. They structure data flows, determine jurisdictional exposure, and embed long term dependencies into public institutions. In a regulatory environment shaped by GDPR, the EU AI Act, and increased scrutiny of cross border data transfers, these choices are no longer technical. They are political, legal, and strategic. France’s move reflects a broader shift in how digital infrastructure is understood in Europe. Digital sovereignty is being translated into procurement rules, system architecture, and enforceable institutional practice. Similar calls for greater digital independence from the United States have been made by European leaders across Germany, Spain, and at the EU level, particularly in relation to cloud services, data localization, and strategic technologies. A cross-party majority of Members of the European Parliament have explicitly called for reducing reliance on US digital infrastructure and expanding European capabilities in a recent technological sovereignty resolution, framing it as a strategic necessity rather than mere regulation.  https://lnkd.in/eBHQ3YfE What distinguishes the French case is the execution. Policy intent has now been converted into mandatory tools, monitored adoption, and infrastructure level enforcement.

New research prototype for Personal Health Agent (PHA), a comprehensive research framework for delivering personalized, evidence-based health and wellness guidance. This system is built on a multi-agent framework that models support after a human expert team, each handled by a specialized LLM sub-agent: ▶️ Data Science Agent: Analyzes multi-modal data from wearables and health records, such as blood biomarkers, to provide contextualized numerical insights. ▶️ Domain Expert Agent: Acts as a reliable source of grounded health knowledge, tailoring information based on the user's specific health profile. ▶️ Health Coach Agent: Supports users in goal-setting and behavioral change through multi-turn, psychologically-inspired conversations. The Orchestrator dynamically coordinates these specialists to synthesize a single, coherent response to complex queries. Evaluations confirmed that this collaborative multi-agent approach significantly outperformed single-agent baselines in overall response quality, clinical significance, effectiveness and usefulness as evaluated by human experts and end-users. This work, including extensive evaluation of all agentic components using the Wearables for Metabolic Health (WEAR-ME) study data, establishes a validated blueprint for the next generation of trustworthy and coherent personal health AI. Read more about this research and the multi-agent framework: https://goo.gle/42kzjvZ Preprint: https://lnkd.in/dfZ96X5c

On my first day as a project manager at a new company, I was handed three things: → A few tool logins. → A couple of links to a document library. → And “Good luck.” No walkthrough. No context. No real training. For the next two months, I was on my own. My boss checked in for a few minutes every couple of weeks. Mostly to tell me I was doing it wrong. But here’s the thing… There are hundreds of ways to manage a project. Every company does it differently. Experience does not mean we automatically know your way. Bad onboarding looks like: ❌ Dropping someone into a tool with no context ❌ Sending a few document links and calling it training ❌ Checking in occasionally to see if they have figured it out Good onboarding looks like: ✅ A clear schedule to ramp up skills and knowledge ✅ Real examples of how your company runs projects ✅ Shadowing experienced PMs who know how to teach ✅ Access to stakeholders and decision-makers early ✅ Clear expectations of “the way we do things here” If you want PMs to deliver in your environment, you have to give them the map first. What is the worst onboarding experience you have ever had as a PM?