Utilizing Software Features

Ever wonder why some pricing pages convert effortlessly while others fall flat? After auditing over 200+ pricing pages, I’ve discovered there’s a science to getting it right. Here are 3 key lessons and 6 breakdowns to optimize your pricing page for clarity and conversions: — 𝗖𝗵𝗮𝗽𝘁𝗲𝗿 𝟭: 𝟯 𝗞𝗲𝘆 𝗟𝗲𝘀𝘀𝗼𝗻𝘀: 1. Simplify the Decision-Making Process: The best pricing pages make it easy for customers to understand their options quickly and without confusion. Guide them by recommending a plan or narrowing down their choices. Keep it simple, and they’ll pick faster. Principle: Hick's Law – The more choices people have, the longer it takes them to decide. 2. Highlight Key Features and Benefits: Don’t just list features—emphasize the benefits of each tier. Make it clear what customers gain as they move up the pricing ladder. By showcasing the tangible value of upgrades, you make it easier for users to understand why a more expensive plan is worth it. Principle: Value Proposition Design — Your brand positioning should revolve around what people want, not what you “think” they want. 3. Address Objections Early: Many customers come to the pricing page with concerns about affordability, commitment, or value. Address them directly on the page by offering guarantees, social proof, flexible payment options, or highlighting low-risk entry points. Principle: Risk Reversal — The more you mitigate the risk, the easier it is for them to make a decision. — 𝗖𝗵𝗮𝗽𝘁𝗲𝗿 𝟮 – 𝟲 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗣𝗿𝗶𝗰𝗶𝗻𝗴 𝗣𝗮𝗴𝗲 𝗕𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻 Let’s start with Figma: Figma’s page makes it easy to distinguish between plans using simple color schemes. The call-to-action (CTA) for each plan also stands out. Instead of a generic button, each plan has its own, like “Choose Starter” or “Contact Sales” for enterprises. Each plan progressively highlights more features which keeps things clear and shows exactly what you’re getting as you move up.The design is optimized for visibility—everything important is right above the fold on most desktop screens. You don’t have to scroll endlessly to find out the basics. Unlike most companies, Figma is upfront about the price of its enterprise plan. You still have to contact sales to buy it, but at least the cost isn’t hidden. — If you want to read the in-depth breakdowns of 5 other companies including Monday, Apple, and Fortnite, check the breakdown available in the comments below.

The best salespeople I know have a weird habit: They treat every feature like it's auditioning for a role. Most AEs? They show everything. "Let me give you the full tour!" Then wonder why deals stall. Here's what I learned at Gong: Before demoing ANY feature, ask yourself: "Did the customer share a pain that this solves?" If yes → Demo it. If no → Bench it. It's that simple. I once watched a rep demo 12 features in 45 minutes. The customer shared 3 problems. Only 4 of those features mapped to those problems. The other 8? Pure noise. Worse than noise, actually. They created objections that didn't exist before. "Well, we don't need that part, so can you discount it?" You're not building value by showing more. You're destroying it. Here's the framework: Pain → Feature → Value → Story Not: Feature → Feature → Feature → "Any questions?" Every feature you demo should have earned its spot by solving a problem the customer already told you about. Make your features audition. Bench the ones that don't make the cut. P.S. These 7 strategies will help you CLOSE more deals in a GTM crisis: https://lnkd.in/d_DkYTSH

Over 80% of users skim, so when a PDP tries to say everything at once, it ends up saying nothing. A cluttered PDP gets more friction than function. Overwhelming users, leading to: - less time spent on page - missing value cues - fewer checkouts A well structured PDP doesn’t overwhelm, rather presents the information in a clear and digestible manner. Encouraging them to take action. In this post, I’ve broken down 12 changes I made to make the PDP easier to read and more focused on what actually helps users purchase. 1. Highlight customer satisfaction upfront. Show how many customers have purchased in the announcement bar. This builds immediate social proof that stays on all your pages. 2. Add benefit-focused badges above the product name. These help shoppers understand what key problems the product solves without needing to read through paragraphs. 3. Keep the title clear, and use a short subtitle to summarise the product and its core benefit. This helps users get both the “what” and the “why” at a glance. 4. Show the number of reviews beside the rating. It adds transparency and makes the rating feel more trustworthy, especially for first-time visitors. 5. Clarify price and pack size early. It saves users from searching for basic details which keeps attention focused on the purchase. 6. Use a context-rich main image. Featuring the product in its real-world use makes it easier to understand what’s being sold and how it fits into everyday life. 7. Expand image thumbnails beyond angles. Include images that show packaging and portion size to help customers evaluate fit and quality. 8. Add 2–3 bullet points above the fold. These help break down the product’s key benefits clearly, making it easier for skimmers to understand what makes it different. 9. Reinforce trust near the Add to Cart section. This is where buying hesitation happens so highlight things like delivery speed, return policies, or support to reduce friction. 10. Use icon-based highlights instead of long descriptions. Visual markers help users absorb information faster and keep the layout clean and scannable. 11. Break down product details visually. Showing ingredient percentages or content breakdowns in a simplified format helps make complex info more digestible. 12. Use accordions (not horizontal tabs). This allows users to expand only what they need, keeping the page organized and improving mobile usability. 13. Bring related variants closer to the decision zone. Show similar options earlier to help customers switch easily without needing to scroll to the bottom. Other UI/UX changes I did – Reduced text density to improve readability – Used consistent icons to simplify scanning – Added color cues for visual balance Found this useful? Let me know in the comments. PS: This checklist helps PDPs be clear and easy to follow without cramming in too much at once. This in turn will help the users make informed decisions that drive action. 

Are Automated Demos Getting the Job Done? Sadly, not enough! Most focus on the LEAST important idea: HOW the software works. And they ignore WHAT problems need to be addressed, WHY it is important, and the VALUE of making the change. Use these attributes and assess - Setting Context: Who is this for (who should watch it and why)? Problem Identification: What problems are being addressed (or need to be addressed)? Solution Presentation: What solutions are offered? Value Communication: What is the tangible value of making the change? Length: Is the length consistent with the objective of the demo? (E.g., Vision Generation vs Technical Proof vs Training) Call to Action: What do you want your prospect to do? Simplicity: Does it communicate a message that can be easily retold? Clarity: Is it easy to understand? Engagement: Are prospects focusing on the demo or multi-tasking?

Picture this. You go to a restaurant. The server walks up and says, “Let me tell you about our menu.” Then they launch into a full tour. The meats. The seafood. The pasta. The salads. The appetizers. The problem? You’re vegan. Sometimes demos feel just like that. Someone walking you through their menu without knowing anything about you. Instead of giving a menu demo, start by understanding what your prospect cares about. Like this: “Do you mind if I ask you a few questions about your food preferences so I can make the best recommendation?” Then explore three areas: Current way Are you vegetarian, more keto, seafood? Tell me what you usually eat for dinner. Desired way What’s one of the best meals you’ve ever had? Obstacles What don’t you like? Spicy? Mild? Now translate that to software. For example, if you’re showing Descript: “Do you mind if I ask you about your current podcast production process so I can make the demo more relevant?” Current way How are you editing your podcast today? How long does it take? Who’s involved? Desired way “Six months from now, how would you know the new software was making a difference?” Obstacles What’s the hardest part of your current process? Then, after the “meal”: “What did you like best about what you saw/ate?” “How so?” And if it feels right, gently guide to the next step: “Since we book up fast, some people like to make a reservation before they leave. Would you like to do that?” Or for software: “Sometimes people want to try Descript in their environment. Would you like to do that?” If not, that’s okay. “Where would you like to go from here?” Because great demos, like great dining experiences, aren’t about showing everything on the menu. They’re about serving what matters most to the person sitting in front of you.

most pricing pages fail the skim test. sybill's redesign addresses that. i visit saas websites for fun and add the cool ones to my swipe file. saas websites have a certain formula, which means when i see something different and cool.. it stands out. one website that caught my attention: Sybill's pricing page. sybill ditched the typical long pricing table with endless checkboxes. instead, they split features into two clear sections: "what you get, no matter the plan" and "what you only get on the business plan or above." here's why this approach is different (and could convert better): 𝟭/ 𝗽𝗮𝘀𝘀𝗲𝘀 𝘁𝗵𝗲 𝘀𝗸𝗶𝗺 𝘁𝗲𝘀𝘁 i spoke to Collin Mayjack at sybill about their redesign. their goal: improving clarity and making the page skimmable. instead of comparing 47 feature rows, you instantly see base features vs premium features. 𝟮/ 𝗿𝗲𝗺𝗼𝘃𝗲𝘀 𝘂𝗽𝗴𝗿𝗮𝗱𝗲 𝗮𝗻𝘅𝗶𝗲𝘁𝘆 when prospects see core features in the base tier section, they know they're not missing critical functionality. the business tier becomes an expansion play, not a gate. 𝟯/ 𝗺𝗮𝗸𝗲𝘀 𝘁𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗼𝗯𝘃𝗶𝗼𝘂𝘀 traditional tables make you decode differentiation. sybill's approach says: "here's what everyone needs to start, here's what growing teams need to scale." === Collin Mayjack mentioned they ditched the mega feature table because "nobody likes endless check boxes." visual feature cards with product screenshots beat rows of checkmarks. the lesson: clearly separate base features from premium features so buyers can quickly self-qualify into the right tier. when prospects can skim your pricing page and immediately know which plan is for them, you've reduced friction where it matters most. what are other ways you could make your website pages pass the 5-second skim test?

🤖 Coding just got smarter, faster, and more secure. Meet the 5 AI tools transforming software development in 2025! 1️⃣ GitHub Copilot Your ultimate coding assistant, GitHub Copilot. Key Features: 🟣Generates real-time code suggestions 🟣Easy integration with IDEs like VS Code and JetBrains. 🟣Offers custom LLM fine-tuning with personal repositories. Why Use It? 🟣85% of users feel more confident in their code quality. 🟣Tasks are completed 15% faster, with a 55% reduction in task time for Copilot users. 🟣Trusted by 55% of developers and over 50,000 businesses globally. 2️⃣ Cursor IDE A fork of VS Code with GPT-powered AI enhancements Key Features: 🟣Code Generation: Predicts and writes code blocks. 🟣Smart Rewrites: Automatically fixes syntax and formatting. 🟣Cursor Prediction: Anticipates navigation patterns for efficient coding. 🟣Integrated Chatbot: Context-aware guidance and suggestions. Why Use It? Trusted by top organizations like Samsung and OpenAI, Cursor IDE combines advanced AI features with VS Code’s flexibility, making it a strong contender in the AI-powered IDE space. 3️⃣ Tabnine If privacy and data security are a priority, Tabnine is your go-to coding assistant. Built on proprietary and external LLMs, it offers robust code completions. Key Features: 🟣Privacy-Focused: Trained on licensed code with GDPR and SOC-2 compliance. 🟣Transparent Data Use: Shares training data under NDA for added trust. 🟣Flexibility Why Use It? With over 1 million monthly users, Tabnine stands out for prioritizing security without sacrificing productivity. 4️⃣ Warp Terminal A modern twist on the CLI, Warp combines an IDE-like interface with AI-driven features to simplify terminal tasks. Key Features: 🟣Warp AI: Provides natural language command suggestions via ChatGPT. 🟣Agent Mode: Executes commands and resolves errors autonomously. 🟣Smart Command Completion: Suggests time-saving CLI commands. 🟣No-Retention Policy: Ensures complete data privacy. Why Use It? Warp is a game-changer for terminal users, offering features that save time and effort while enhancing productivity. 5️⃣ Replit Agent Replit Agent goes beyond coding assistance, acting as a virtual junior full-stack developer for building and deploying applications. Key Features: 🟣Natural Language Interface: Build complete applications with simple prompts. 🟣Infrastructure Setup: Deploy-ready configurations for various applications. 🟣Iterative Improvements: Add or modify features effortlessly. Why Use It? Although experimental and available in limited access, Replit Agent offers a glimpse into the future of AI-driven development 💡 These tools don’t just save time, they enable developers to focus on what truly matters: solving real-world problems and delivering exceptional products. #AI #SoftwareDevelopment #DeveloperTools #Productivity #TechInnovation

So many AI coding platforms, which one should you go with? The Chocolate Milk Cult spent months rigorously testing various tools for AI-assisted coding flows. We tested tools both individually and with each other across various flows involving codebase QA, targeted changes, building features from scratch, building features within existing code bases, and code review. Tool selection for coding depends on three factors: infrastructure cost versus technical complexity, collaboration dynamics, and context quality for large codebases. I won't bore you with more exposition. Here are the 4 that are worth your money, and how to best use them-- Lovable: When infrastructure cost exceeds technical complexity, use Lovable. If you want to build a simple automation web service or test an idea, the cost of setting up AWS, configuring deployment, linking services together is often higher than the actual technical work. Lovable eliminates that friction. You just build and it handles hosting, infrastructure, everything. Lovable charges a premium for this, but in many such cases, you don’t have to pay 3 SWEs part-time to set up UI, tools, and deploy, so you’re saving a lot of time and mental energy. When technical complexity is high, or when you need consistent iteration, or when multiple people are making changes, switch to other tools. CLI Tools: Claude Code & Codex. The best use of CLI tools is for microservices or standalone services. Write entire functionality end-to-end with Claude Code, spin it up as its own environment. Your larger codebase calls it as a function or service. It doesn’t integrate the code directly. This lets you make sweeping changes within the service without merge fallout in the main codebase. Claude Code is my primary interface. It has a much better search than Codex. Tool use is better, especially when it comes to autonomously working to fix things. UX is cleaner and it has a much faster speed of iteration. Codex has a higher intelligence ceiling. Code reviews are more thorough. Raw capability is higher than Claude Code. But UX is worse. Logs are hard to read. Execution is slower. I use Codex in sub-agents called from Claude Code. You get the ease of use where it matters and the intelligence ceiling when you need it. Augment Code Augment Code has the best context quality for large codebases. Claude Code and Codex are good at context but not great. Augment is better. This makes Augment the right choice for inline changes within large bases. Enterprise settings. Multi-person teams. Inflexible codebases where commits need to be small and controlled. When you’re not going to make large or complex changes per request, Augment handles targeted fixes better than CLI tools. The IDE experience is excellent. Their CLI integration is weaker. Use it in the IDE for scoped questions and targeted changes. For the best AI tools you should use, read: https://lnkd.in/eQh9vSzr

Happy Friday everyone, this week in #learnwithmz let's dive into something close to every developer's heart: 𝐀𝐈 𝐂𝐨𝐝𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬 As AI revolutionizes the way we write, debug, and manage code, it's important to identify which tools truly deliver value. Over the course of two weeks, I tested some of the most popular options by building a full-stack app prototype with each tool. Here's a quick breakdown to help you find the best fit for your specific needs: 🏆 Best Overall: GitHub Copilot Seamless integration with your IDE. Great for inline suggestions and debugging. New Copilot Chat feature allows conversational debugging. Learn more: https://lnkd.in/g4mdv4Ej 💡 Best for Non-Technical Users: Vercel V0 Intuitive and beginner-friendly. Component-specific editing via AI makes prototyping easier. Learn more: https://vercel.com/ 💻 Best for Full-Stack Cloud Development: Replit Ghostwriter Great for collaborative, cloud-based projects. Comes with built-in hosting capabilities. Learn more: https://replit.com/ 🚀 Emerging tool to Watch: Cursor Excellent Copilot alternative. Ideal for agent-driven workflows. Learn more: https://www.cursor.com/ 💎Notable mention: Cline Completely open-source and free alternative to Cursor + Windsurf, available as a lightweight VS Code extension. Enables agent-driven coding with advanced tool integrations. Produces cleaner code with fewer errors and improved self-correction capabilities. Lacks inline chat functionality Learn more: https://lnkd.in/gzESqien 𝐎𝐭𝐡𝐞𝐫𝐬 𝐰𝐨𝐫𝐭𝐡 𝐞𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 - Codeium: Strong AI assistant for codegen and refactoring. https://codeium.com/ - Bolt: Provides cloud-based development https://bolt.new/ - Tempo: PRD-to-Code workflows for designers and devs. Focused on REACT. https://www.tempolabs.ai/ 𝐖𝐡𝐲 𝐀𝐈 𝐂𝐨𝐝𝐢𝐧𝐠 𝐭𝐨𝐨𝐥𝐬 𝐦𝐚𝐭𝐭𝐞𝐫 These tools save time, reduce cognitive load, and empower developers to focus on creative problem-solving. However, the right choice depends on your use case, whether it's prototyping, debugging, or full-stack development. Which AI coding tools are you using? Let me know in the comments, and if you'd like a deeper comparison post! #AI #CodingTools #Developers #TechFriday #LearnAI #learnwithmz P.S. Image is generated via DALL·E

Intercom’s new pricing page absolutely crushes it. I have been following Intercom’s pricing page evolution for over a year. They have had at least three to four renditions where they played around with... Should Fin be a separate box at the top above the regular plans? Should they use a grid to show all the feature details? How many plans should they show? How do they position their add-ons? Their current version is clean, clear, and follows a number of winning best practices we see from our database of A/B tests here at DoWhatWorks. These include… ✅  A clear pricing structure. They charge for resolutions, and they charge by seats. Straightforward. ✅ Persona-based subheaders beat out outcome-focused ones. You want to signal whether this plan is for solopreneurs/startups or for companies that need security functionality. The idea of the pricing plan subheader is just a very quick visual nudge to say, “This plan is for people like you”. Intercom does good here. ✅ Use straightforward (and consistent) CTA language. We all know what “Get a free trial” or “book a demo” means. The addition of the duration of the trial just adds to expectation-to-reality matching. ✅ Limit line items to ~5 per plan. There is no golden number, any more than there is a perfect number of characters on your header or subheader. But what we know from a lot of testing data is that variants that have closer to 5 line items tend to win at a high percentage versus those that have 10 or more. On top of this, qualitative user testing shows that having an excessive number of line-items is hard to digest, and users typically only walk away remembering one or two things per plan. ✅ Use hover effects to explain jargon. By default, I have no idea what a “Lite seat” is, but I hover over it and get the explanation. More brands should do this. ✅ Set expectations around add-ons. Intercom states right above their add-ons, “Included in your free trial. Add or remove anytime”. Prospects understand from this that they can test out the add-ons, and they will be added by default. Overall, they nailed a simple, easy-to-digest pricing page, despite having multiple pricing mechanisms (resolutions + seats) and add-ons. Give the team behind this page a raise.