Simple Design QA Privacy Policy Simple Design QA stores QA log data locally in the user’s browser (chrome.storage.local). Data may include page URL, page title, timestamp, severity, feedback type, feedback text, optional reference link, optional container name, and optional screenshots captured by the user. How data is used: - To let users create, review, filter, and delete QA logs. - To let users export logs to a local ZIP file (CSV, HTML, screenshots). Data sharing: - We do not transmit extension data to our servers. - We do not sell or share user data with third parties for advertising or analytics. Storage and retention: - Data remains on the user’s device/profile until deleted by the user, extension removal, or browser data clearing. - Exported files are created only when the user explicitly triggers export. Permissions: - storage: save logs locally. - activeTab and tabs: read active page context for logging. - scripting: user-triggered page area selection and screenshot flow. - downloads: export ZIP file to local device. Contact: deepakvaidya811@gmail.com

When I first started working with B2B SaaS companies, I quickly realized that growth isn’t just about having a great product. It’s about strategy , execution , and knowing exactly where to focus your efforts. That’s where a skilled consultant comes in. They bring clarity to chaos and help businesses scale efficiently. Today, I want to share some of the most effective b2b saas consultant tips that can transform your growth trajectory. Why B2B SaaS Growth Needs a Specialist Approach Growth in B2B SaaS is not a one-size-fits-all game. Unlike consumer apps, the sales cycles are longer, the decision-making process is complex, and the product often requires customization. This means traditional growth hacks don’t always work. Here’s what I’ve learned: Understanding the buyer’s journey is critical. You need to map out every touchpoint from awareness to purchase. Aligning sales and marketing ensures that leads are nurtured properly. Product-market fit is a moving target. Continuous feedback loops are essential. Data-driven decisions help prioritize features and campaigns that actually move the needle. A consultant specializing in this space brings a fresh perspective and proven frameworks to tackle these challenges head-on. Essential B2B SaaS Consultant Tips for Sustainable Growth Let me walk you through some practical tips that I’ve seen work repeatedly: 1. Focus on Customer Segmentation Not all customers are created equal. Segment your audience based on: Industry verticals Company size Use case scenarios Buying behaviour This allows you to tailor messaging and product features that resonate deeply with each segment. For example, a startup might prioritize ease of use, while an enterprise values security and compliance. 2. Optimize Your Sales Funnel A leaky funnel is a growth killer. Analyze each stage: Lead generation Qualification Demo and trial Closing Identify where prospects drop off and why. Sometimes, it’s a lack of follow-up; other times, it’s unclear value propositions. Fixing these bottlenecks can boost conversion rates dramatically. 3. Leverage Product-Led Growth (PLG) PLG is a powerful strategy where the product itself drives acquisition and retention. Encourage free trials, freemium models, or self-service onboarding. This reduces friction and lets users experience value firsthand. 4. Invest in Customer Success Retention is as important as acquisition. A dedicated customer success team can: Onboard users effectively Provide proactive support Upsell and cross-sell relevant features Happy customers become advocates, fueling organic growth. 5. Use Data to Drive Continuous Improvement Track key metrics like: Monthly Recurring Revenue (MRR) Customer Acquisition Cost (CAC) Customer Lifetime Value (CLTV) Churn rate Regularly review these numbers to spot trends and adjust strategies accordingly. How I Integrate AI and Innovation in Growth Strategies One of the most exciting developments in SaaS growth is the integration of AI. I’ve seen firsthand how AI can: Automate lead scoring and prioritization Personalize marketing campaigns at scale Predict churn before it happens Enhance product recommendations For example, using AI-powered chatbots can improve customer engagement without increasing headcount. It’s about working smarter, not harder. The Role of a b2b saas growth consultant in Your Business A consultant’s value lies in their ability to combine deep industry knowledge with hands-on experience. Here’s what they typically bring to the table: Strategic clarity: Helping you define clear growth goals and KPIs. Process optimization: Streamlining workflows between product, marketing, and sales. Market insights: Identifying emerging trends and competitive gaps. Execution support: Guiding implementation and troubleshooting roadblocks. Cross-functional collaboration: Bridging gaps between teams to ensure alignment. When I work with clients, I focus on creating actionable roadmaps that balance quick wins with long-term growth. Practical Steps to Engage a Growth Consultant Effectively If you’re considering bringing in a consultant, here are some tips to get the most out of the partnership: Define your objectives clearly. What specific outcomes do you want? More leads, better retention, faster onboarding? Be transparent about challenges. The more honest you are, the better the consultant can tailor solutions. Commit to collaboration. Growth is a team sport. Ensure your internal teams are ready to engage. Set measurable milestones. Track progress regularly and adjust plans as needed. Leverage their network. Consultants often have access to tools, vendors, and talent that can accelerate your growth. Final Thoughts on Driving B2B SaaS Success Growth in B2B SaaS is complex but incredibly rewarding when done right. The right consultant can be a game-changer, helping you navigate challenges and seize opportunities. Remember, it’s not just about quick hacks but building a sustainable engine fueled by data, customer insights, and innovation. If you’re ready to take your SaaS business to the next level, consider these tips and strategies as your starting point. Growth is a journey, and having the right guide makes all the difference.

In today’s fast-evolving digital landscape, artificial intelligence (AI) is no longer just a buzzword. It’s a transformative force reshaping how products are designed, developed, and experienced. But here’s the catch: AI alone doesn’t guarantee success. The real magic happens when AI meets user experience (UX) design . I’ve seen firsthand how integrating thoughtful UX design with AI capabilities can turn complex technologies into intuitive, impactful products that users love. Let’s dive into why UX design is more important than ever in this AI-driven era. The Intersection of AI and UX: Why It Matters AI can analyze vast amounts of data, predict user behavior, and automate tasks. But without a user-centered design approach, these capabilities risk becoming overwhelming or confusing. UX design ensures that AI-powered products are not just smart but also usable, accessible, and enjoyable . Think about it this way: AI is the engine, but UX is the steering wheel. Without UX, users might struggle to navigate or trust AI-driven features. Here’s why UX design is critical: Humanizes technology : AI can feel cold or impersonal. UX design adds empathy, making interactions feel natural. Simplifies complexity : AI algorithms can be complex, but UX breaks down that complexity into clear, simple steps. Builds trust : Transparent design helps users understand AI decisions, reducing fear or skepticism. Enhances engagement : Good UX keeps users coming back, turning AI features into valuable experiences. How AI Is Changing UX Design AI is not just a tool for users; it’s also transforming how designers work. As someone deeply involved in product design, I’ve noticed several ways AI is reshaping UX: Personalization at scale : AI enables hyper-personalized experiences by analyzing user data in real-time. Designers can create adaptive interfaces that respond to individual preferences. Predictive design : AI can anticipate user needs and suggest next steps, making interactions smoother. Automated testing and feedback : AI tools can simulate user behavior and provide instant feedback on design effectiveness. Voice and conversational interfaces : AI-powered chatbots and voice assistants require new UX approaches focused on natural language and context. These changes mean UX designers must evolve their skills and mindset. It’s no longer just about static screens but dynamic, intelligent systems that learn and adapt. Practical Tips for Designing AI-Driven Products If you’re leading product design or growth strategy, here are some actionable recommendations to harness UX in AI projects: Start with user research : Understand your users’ pain points, goals, and context before adding AI features. Focus on transparency : Clearly explain how AI works and why it makes certain decisions. Design for control : Allow users to override or customize AI behavior to avoid frustration. Test with real users : Validate AI interactions through usability testing and iterate based on feedback. Prioritize accessibility : Ensure AI features are usable by people with diverse abilities. Balance automation and human touch : Use AI to assist, not replace, human judgment where it matters most. By following these principles, you can create AI-powered products that truly resonate with users and drive business growth. The Business Impact of UX in AI Products From my experience working with Fortune 500 companies and startups alike, the ROI of investing in UX for AI products is clear: Increased adoption : Products that are easy to use and understand see higher user adoption rates. Reduced churn : Good UX reduces frustration, keeping customers loyal. Faster time to market : Early UX validation helps avoid costly redesigns. Competitive advantage : Companies that blend AI with superior UX stand out in crowded markets. Improved efficiency : Streamlined AI interactions save users time and effort, boosting productivity. Deepak Vaidya aims to empower businesses, from Fortune 500s to startups, by transforming complex challenges into user-centered, high-impact products. This approach is essential for leveraging AI’s full potential while delivering measurable business results. Embracing the Future: UX and AI Together Looking ahead, the synergy between UX and AI will only deepen. Emerging technologies like augmented reality, machine learning, and natural language processing will demand even more sophisticated design thinking. But the core principle remains the same: design with the user at the heart . If you’re navigating this AI era, remember that technology alone won’t win the day. It’s the thoughtful, empathetic design that turns AI’s promise into real-world value. I encourage you to embrace this mindset and lead your teams toward creating AI experiences that are not just intelligent but truly human. By focusing on UX in AI-driven products, you’re not just building tools—you’re crafting experiences that inspire trust, delight users, and drive meaningful growth. And that’s a future worth designing for.

The design industry is on the brink of a massive transformation, and AI agents are at the heart of this change. As we approach 2026, the integration of AI into design workflows is no longer a futuristic concept but a present-day reality reshaping how products are conceived, developed, and delivered. I’ve been closely observing these shifts, and I’m excited to share insights on how AI agents are influencing design, what this means for businesses, and how you can leverage these advancements to drive growth and innovation. The Rise of AI Agents in Design: What’s Changing? AI agents are software entities capable of performing tasks autonomously, learning from data, and interacting with humans and systems. In design, these agents are evolving from simple automation tools to intelligent collaborators. Here’s what’s happening: Automated Ideation : AI agents can generate design concepts based on user data, market trends, and brand guidelines. This accelerates the brainstorming phase and expands creative possibilities. Personalized User Experiences : By analyzing user behavior, AI agents help tailor designs that resonate with specific audiences, improving engagement and satisfaction. Efficiency Boost : Routine tasks like resizing images, formatting layouts, or generating code snippets are now handled by AI, freeing designers to focus on strategic and creative work. Real-time Feedback : AI-powered tools provide instant critiques on usability, accessibility, and aesthetics, enabling rapid iteration and refinement. These changes are not just incremental improvements; they represent a paradigm shift in how design teams operate. The collaboration between human creativity and AI precision is unlocking new levels of productivity and innovation. How AI Agents Are Shaping Product Design and Growth Strategy When it comes to product design, AI agents are becoming indispensable. They help businesses understand complex user needs and market dynamics, which is crucial for crafting products that truly deliver value. Here’s how AI is influencing product design and growth strategy: Data-Driven Design Decisions : AI agents analyze vast datasets to identify patterns and preferences, guiding designers to make informed choices that align with business goals. Rapid Prototyping and Testing : AI accelerates the creation of prototypes and simulates user interactions, reducing time-to-market and enhancing product-market fit. Predictive Analytics for Growth : By forecasting trends and user behavior, AI agents enable companies to anticipate market shifts and adapt their strategies proactively. Cross-Functional Collaboration : AI tools facilitate seamless communication between design, marketing, and development teams, ensuring alignment and efficiency. In my experience, integrating AI into product design processes not only improves outcomes but also fosters a culture of innovation. It’s about transforming complex challenges into user-centered, high-impact products that drive significant business growth. The Ethical and Creative Balance in AI-Driven Design One concern I often hear is whether AI will stifle creativity or lead to ethical dilemmas. It’s a valid question. AI agents excel at pattern recognition and optimization, but creativity and ethical judgment remain deeply human traits. Here’s how to strike the right balance: Use AI as a Creative Partner : Treat AI agents as collaborators that augment your creativity rather than replace it. They can suggest ideas, but the final creative direction should come from human insight. Maintain Ethical Standards : Ensure AI-generated designs respect diversity, inclusivity, and privacy. Regular audits and transparent AI models help maintain trust. Encourage Human Oversight : Always have designers review AI outputs critically. This prevents biases and ensures the design aligns with brand values and user needs. Foster Continuous Learning : Both AI systems and designers should evolve together. Feedback loops where designers teach AI agents improve results over time. Balancing AI’s capabilities with human creativity and ethics is essential for sustainable innovation. It’s a journey I’m passionate about, and I believe it will define the future of design. Practical Steps to Integrate AI Agents in Your Design Workflow If you’re ready to embrace AI agents in your design processes, here are actionable recommendations to get started: Identify Repetitive Tasks : Start by automating routine activities like image editing, layout adjustments, or content generation to save time. Choose the Right AI Tools : Evaluate AI platforms that align with your design needs and business objectives. Look for tools with strong user support and integration capabilities. Train Your Team : Invest in upskilling designers to work effectively with AI agents. Encourage experimentation and knowledge sharing. Set Clear Goals : Define what success looks like—whether it’s faster delivery, higher user engagement, or improved product quality—and measure progress. Iterate and Optimize : Use AI-generated insights to refine designs continuously. Don’t hesitate to pivot based on data and feedback. Collaborate Across Departments : Involve marketing, development, and customer support teams to ensure AI-driven designs meet broader business needs. By following these steps, you can harness AI’s power to transform your design operations and fuel growth. Looking Ahead: The Future of AI and Design in 2026 and Beyond As we move closer to 2026, the role of AI agents in design will only deepen. Here’s what I foresee: Hyper-Personalization : AI will enable designs that adapt in real-time to individual user contexts, creating truly unique experiences. Voice and Gesture Interfaces : AI agents will help design intuitive interfaces beyond screens, making interactions more natural and accessible. Sustainability Focus : AI will assist in creating eco-friendly designs by optimizing materials, reducing waste, and promoting circular economy principles. Democratization of Design : AI tools will empower non-designers to create professional-quality products, expanding innovation across industries. The key takeaway? Embracing AI agents is not optional but essential for businesses aiming to stay competitive and innovative. I encourage you to explore these technologies thoughtfully and strategically. If you want to dive deeper into how AI can transform your product design and growth strategy, check out this comprehensive guide . The integration of AI agents in design is a thrilling frontier. It challenges us to rethink creativity, efficiency, and ethics in ways that can unlock unprecedented value. I’m excited to see how businesses harness this potential to create products that truly resonate and grow in an ever-evolving market. Let’s embrace this future together.

Pick Up in Store, is a site-wide feature that allows customers to purchase items online, and pick it up in-store. This allows our customers to get their items immediately rather than waiting a couple of days for shipping. This also brings foot traffic into HealthKart retail stores for exposure.  Challenge To give an omnichannel experience to existing Healthkart customers. Increase footfall into HK retails stores. Create a solution for the customers to discover & pick items from nearby stores Customer Insights  We did qualitative research to identify customers pain points & scope for scaling the feature Paint Points Not sure about online store product quality Need fast delivery Need Online store offers and reward points at retails store Customer Wants Trusts stores as for quality nutritional products Need advice/suggestion before buying fitness products easy product navigation Ideation After understanding our customers, and the challenge, we went straight to the drawing board. We brainstormed new pick from store flow & new interactions that would help improve the experience for our users and enable them to discover product online pick from nearby HK store Final Design After testing and collecting metrics, the team decided to scale a more responsive solution that is both desktop and mobile friendly. Making the radio button visible and reducing the confusion of selection led to an increase in the features penetration rate. Product Page Store Page

As a product designer, I’ve always been driven to solve problems that disrupt my workflow. One frustration stood out: the constant switching between Figma and my browser to hunt for reference screenshots, Like UI designs or app layouts. It was slow, tedious, and pulled me out of my creative groove. I imagined a Figma plugin that could search for screenshots right inside my workspace, saving me time and keeping my focus intact. The only problem? I don’t code. Building a plugin seemed like a dream reserved for developers Until I discovered AI could help. Using Cursor, an AI coding assistant, I created "Screenshot Finder," a plugin that searches the web for images via Brave Search and inserts them into my Figma canvas. This is the story of how I went from an idea to a working tool, no coding expertise required. The Spark: A Designer’s Pain Point The idea was straightforward but powerful: I wanted a plugin that would: Let me type a search query (e.g., "mobile app login screenshot"). Find relevant images from the web. Display them in a clean grid inside Figma. (Even better) Allow me to click an image to add it to my design. I’d heard of other designers building plugins to solve their own problems—like "Layer Renamer" by Kasthuri Rajaram—and thought, "If they can do it, maybe I can too." With AI by my side, that "maybe" turned into a "yes." Phase 1: Starting with AI as My Guide Grasping the Basics I had no clue how Figma plugins worked, but Cursor made it approachable. It explained that a plugin needs three main pieces: manifest.json : A file that tells Figma what the plugin is called and how to launch it. code.js : The logic that makes the plugin do its job. ui.html : The visual part users see and interact with. Cursor even gave me starter versions of these files. Within minutes, I had a basic plugin with a text box for my search query and a button to trigger it. Suddenly, this didn’t feel so impossible. Choosing Brave Search I picked Brave Search for the plugin because I had an API key and liked its privacy focus. Cursor showed me how to use Brave’s image search to find screenshots—a perfect fit for my needs. It guided me through setting up the API connection, something I’d never have figured out alone. Phase 2: Building It Step by Step Getting the Search to Work The heart of the plugin was the search feature. Cursor wrote a function called searchImages that: Took my query (like "dashboard UI"). Added "screenshot" to narrow the results. Asked Brave Search for image URLs. Pulled the links from the response. At first, some images wouldn’t load. Cursor suggested I peek at the API data to troubleshoot. I learned some results were just tiny thumbnails, not full images. With its help, I adjusted the code to handle both, making the plugin more reliable. Showing Images in Figma Next, I needed those images to appear in the plugin’s window. Cursor explained Figma’s messaging system: the code.js file sends the image URLs to ui.html, which displays them as a grid of thumbnails. I typed a query, hit search, and—bam!—images appeared. It felt like a small victory. Not every image worked, though. Some links were broken or blocked—a limitation I decided to live with for now. Phase 3: Adding the Magic Touch Placing Images on the Canvas I wanted more than just a search tool—I wanted to click an image and see it in my Figma file. Cursor introduced me to createImageAsync, a Figma function that turns a URL into an image on the canvas. Here’s how it worked: Click a thumbnail in the plugin. The URL goes to code.js. Figma creates a rectangle filled with the image, right in my design. When it worked, it was thrilling—like I’d unlocked a superpower. Some images still failed to load due to technical quirks, but the successes outweighed the hiccups. Polishing the UI As a designer, I couldn’t let the plugin look bland. I styled the thumbnails to be small and clickable, adding a hover effect for clarity. Cursor suggested a "loading" message during searches, but I kept it simple for this first version. Overcoming Hurdles with AI Building this wasn’t all smooth sailing, but AI helped me through: Decoding the Code : I didn’t need to master programming—Cursor explained things in plain terms. For example, it described "async functions" as "waiting for a task to finish before moving on." Fixing Mistakes : When the search button didn’t work, Cursor spotted that I’d missed linking it to the search function. Problem solved. Handling API Surprises : Brave Search sometimes sent odd results. Cursor helped me add filters to skip unusable data, improving the plugin’s consistency. The Payoff: A Workflow Game-Changer Since finishing "Screenshot Finder," it’s become a staple in my projects. What used to take 10 minutes—searching for a reference—now takes less than a minute. More than saving time, it keeps me in the design zone. I’ve shared it with teammates, and they’ve loved it too, using it to grab inspiration without breaking their stride. What I Learned as a Non-Coder AI Levels the Playing Field : I didn’t write code from scratch; I shaped the idea, and Cursor handled the details. Small Steps, Big Wins : Starting with a basic search and adding features bit by bit kept me motivated. Good Enough Beats Perfect : The plugin isn’t flawless, but it works—and that’s what matters. Conclusion: You Can Build Too Creating "Screenshot Finder" showed me that coding isn’t a barrier for designers anymore. With AI, we can turn our frustrations into tools that make our work better—and maybe even help others. This journey has me dreaming bigger: what else can I solve? If you’re a designer with an idea, don’t let code scare you off. AI can be your partner in making it real.

Reduced 60% of Frontend Dev Effort by Using a Unified Design System, ChatGPT, and Cursor AI At AuthBridge, a leading background verification and financial risk and compliance company, we faced a significant challenge: how to improve the consistency of our brand and user experience across eight different products, all while reducing the time and effort from design to development. Each product had been developed using different frameworks—Bootstrap, custom PHP, and even Material UI—with multiple frontend teams working in silos. This fragmented approach led to inconsistencies and inefficiencies that hindered our ability to deliver a seamless user experience. The Problem Inconsistent Frameworks and Isolated Teams Our products were a patchwork of different technologies and design philosophies. The use of various frameworks meant that components were not reusable across projects, and teams often duplicated effort by building similar features from scratch. The lack of a unified design language resulted in a disjointed user experience, making it difficult for users to navigate between our products seamlessly. Design to Development Bottlenecks Without a standardized design system, the transition from design to development was fraught with delays. Designers and developers spoke different languages, and the absence of shared components led to miscommunication and rework. This not only increased the time to market but also inflated development costs. The Solution To address these challenges, we embarked on a journey to unify our design and development processes, leveraging modern tools and artificial intelligence to streamline our workflow. Adopting Tailwind CSS for Consistency We chose Tailwind CSS  as our single, faster framework for all products. Tailwind’s utility-first approach allowed us to build custom designs without writing custom CSS for each component. This move significantly reduced the complexity of our stylesheets and made it easier for developers to maintain consistency across different projects. Creating a Unified Design System with Figma and React We developed a unified design system  using Figma, creating a comprehensive library of reusable components. These components were then translated into a React library, ensuring that design and development were aligned. By standardizing components like buttons, forms, and navigation menus, we enabled our teams to build interfaces faster and with greater consistency. Training a Custom GPT Model To further enhance productivity, we trained a custom GPT model  with our React components, Tailwind best practices, and guidelines for brand experiences. This AI model became a knowledge base that could provide developers with code snippets, style guidelines, and component usage examples tailored to our specific needs. Integrating Custom GPT with Cursor AI We integrated the custom GPT model as an API with Cursor AI , an AI-powered code editor. This integration allowed developers to receive real-time suggestions and corrections as they coded, significantly reducing errors and improving code quality. The AI assistant could auto-complete code, suggest optimizations, and ensure adherence to our design system guidelines. The Results By unifying our design system and leveraging AI tools, we achieved remarkable results: • Reduced Development Effort by 60% : The combination of a standardized design system and AI assistance streamlined our workflow, cutting down development time significantly. • Improved Consistency Across Products : Users now experience a seamless interface when navigating between our products, reinforcing our brand identity. • Enhanced Collaboration : With shared components and AI-assisted coding, our teams now collaborate more effectively, reducing silos and fostering innovation. • Faster Time to Market : Reduced development time

Project Overview AuthBridge's iBridge is a background verification software used by HR professionals to verify candidate information. As the UX lead, I was tasked with redesigning the product to improve user experience, streamline workflows, and modernize the interface. This case study outlines the process and outcomes of this redesign project. 1. Evaluate Existing Design To begin the redesign process, I conducted a thorough evaluation of the existing iBridge design. This involved: Heuristic analysis: Applying Nielsen's 10 usability heuristics to identify areas of improvement. User flow mapping: Documenting the current user journeys to identify pain points and inefficiencies. Visual design assessment: Evaluating the current interface for consistency, clarity, and adherence to modern design principles. Key findings: Complex navigation structure leading to user confusion Inconsistent UI elements across different sections Lack of clear feedback on user actions Outdated visual design affecting perceived credibility 2. Create Service Blueprint To gain a comprehensive understanding of how iBridge works, I created a service blueprint. This involved: Mapping out front-stage and back-stage processes Identifying key touchpoints between users and the system Documenting support processes and systems Insights gained: Identified bottlenecks in the verification process Discovered opportunities for automation Highlighted areas where better communication could improve user experience 3. Competition Benchmarking I conducted a thorough analysis of competing background verification software to identify industry best practices and potential areas for differentiation. This included: Feature comparison UX/UI analysis User reviews and sentiment analysis Key takeaways: Mobile responsiveness is becoming industry standard Integration with HRMS systems is a valued feature Real-time status updates are highly appreciated by users 4. User Research To truly understand the pain points and needs of our users, I conducted extensive user research involving both HR professionals and candidates. This included: In-depth interviews with 15 HR professionals and 20 candidates Online surveys (200+ responses) Analysis of customer support tickets and feedback Key pain points identified: HR Professionals: Difficulty in tracking multiple verification requests Lack of clear status updates Time-consuming data entry process Candidates: Confusing document upload process Lack of transparency in verification status Difficulty in correcting submitted information 5. Reimagine Architecture Based on the insights gathered, I reimagined the information architecture of iBridge: Created a new sitemap focusing on user tasks rather than system features Developed user flows that minimize steps and reduce cognitive load Designed a new navigation structure to improve discoverability Key improvements: Task-based navigation (e.g., "Start New Verification", "Track Requests") Personalized dashboards for different user roles Streamlined document upload process for candidates 6. Build a Basic Design System To ensure consistency and scalability in the new design, I developed a basic design system: Defined a color palette that aligns with AuthBridge's brand identity Created a typography hierarchy Designed a library of reusable UI components Components included: Buttons and form elements Cards for displaying verification requests Status indicators Navigation elements 7. Create New UI and Flow Utilizing the new architecture and design system, I created the new UI and user flows: Designed high-fidelity mockups for key screens Created interactive prototypes to demonstrate user flows Iterated on designs based on internal stakeholder feedback Key features of the new design: Intuitive dashboard with at-a-glance status updates Streamlined verification request process Improved document upload interface for candidates Clear and consistent status communication 8. User Testing To validate the new design, I conducted user testing sessions: Recruited 10 HR professionals and 15 candidates Created task scenarios to test key user flows Used Figma prototypes for interactive testing Collected quantitative (task success rates, time on task) and qualitative feedback Results: 90% of users successfully completed core tasks without assistance Users reported higher satisfaction scores compared to the old design Identified minor usability issues that were addressed in the final design 9. Tech Handover To ensure smooth implementation of the new design, I prepared a comprehensive handover package for the development team: Detailed UI specifications and interaction documentation Asset library including all icons and graphical elements Annotated wireframes highlighting dynamic elements and data requirements Responsive design guidelines Accessibility requirements and considerations Additionally, I: Conducted a walkthrough session with the development team Established a process for ongoing design-development collaboration Created a shared repository for design files and documentation Conclusion The redesign of iBridge resulted in a more intuitive, efficient, and modern background verification tool. By focusing on user needs and leveraging best practices in UX design, we created a product that not only meets but exceeds user expectations. Initial feedback from beta testers has been overwhelmingly positive, with users reporting significant improvements in efficiency and satisfaction. Next steps include monitoring post-launch metrics, gathering user feedback, and planning for continuous improvement based on real-world usage data.

A fully automated wealth management service that designs a custom investment mix to get a person’s desired return at a safer and lower risk than usual market options. Objective The platform enables customers to evaluate their current financial standing and set investment goals (savings for education, retirement, car purchase). Using the various interactive capabilities of the service (co-browsing, video chat), users connect with a financial consultant and receive individual recommendations on reaching their goals. Apart from this, the platform enables customers to follow received recommendations by investing funds, opening a pension savings account, making a deposit or signing an insurance contract. Value proposition There is a distinct relationship between the Value Proposition and a successful MVP (Minimum Viable Product). To measure the success of the MVP, the value proposition will give clear focus to what needs to be achieved, with whom and how to measure it. What needs are the MVP addressing?      - Creating the need to take financial responsibility for retirement.      - The need for trustworthy non-invasive AI based online financial guide. What is the solution to fulfilling these needs?      - A simple and secure online platform with multiple financial tools to establish a financial roadmap for an individual by linking and maintaining income and expense accounts, as well as making online investments. Who are these users experiencing these needs?       - Young professionals with no financial experience or investments.       - Young professionals with limited financial experience and investments.       - Older professionals with active investments. What metrics will be used to measure the success of satisfying these needs?      - Number of users that sign up via the online application process.      - Number of users that signed up but didn’t link bank / investment accounts.      - Number of active users divided into time frames 3, 6, 12 months, 2 years, etc.      - Number of users that aborted after committing to the investment? User insights survey The 10 participants for the Insights Survey were divided into 3 age groups and distributed by gender as equally as possible. According to Norman Nielsen, with 5 users for a usability study, you almost always get close to the user testing's maximum benefit-cost ratio. However this Insights Survey is focused on user insights and I opted to utilise the maximum amount of participants available for the free version of Optimal Workshop . This application provides UX methodologies for surveys, card sorting, etc. Outcomes The Insights Survey aims to get a better understanding of the user’s financial relationship with credibility, trust, commitment & experience based on the predominant use of technology. Establishing the younger user’s lack of experience & knowledge in the financial sector, the Online Financial Advisor can bridge the gap and offer a more tailored and explanatory experience. Due to Online Financial Advisor being a fairly new financial tool in South Africa and not many users having had experience with one, it’s difficult to get feedback on the specific tool. It is, thus, helpful to rather tap into the user’s experience with basic online application forms and their perception when adding it into a financial context. Understanding what makes the user trust & commit online, together with which factors are invasive and makes the user feel uncomfortable will ultimately guide the flow of the online application to ensure higher sign ups. Questions This survey focusses on the probability of users making a financial investment via an online application form and the factors that influence decision making during this process.      1. What is your age?      2. Are you male or female?      3. Do you currently have any financial investments?          (Such as retirement annuity, life insurance, etc.)      4. If your previous answer is yes, please indicate how you acquired these investments.          (You can select more than one option if you have more than one investment)                - Telephonic with a broker                - Personally at the bank or investment house                - Online through your bank or investment house                - Through the company you work for      5. If you’re interested in making a new financial investment, would you consider applying for it online?      6. If your previous answer is no, please indicate why you would not consider applying for financial investments online.                - I don’t trust online security with my finances. (credibility)                - I don’t know enough about financial investments to do it by myself. (knowledge)                - I’m worried that I’ll commit to an investment and not be able to change it afterwards. (commitment)                - I’m worried about the fine print.(unknown / credibility / commitment)                - I would prefer to discuss my options personally with a professional. (human interaction / knowledge)      7. What would make you feel that an online application is safe and credible?               - The application is on a website of a well known brand or institution.               - The application is on a website that’s affiliated with well known brands or institutions.               - The application is accompanied by logos of credibility and / or financial awards.      8. Do you feel uncomfortable when an online application asks to enter your personal details i.e. name, email, ID, etc. from the  get go?      9. If your previous answer is yes, please indicate during which step in the online application process would you feel                      comfortable disclosing personal information.                - During the 2nd step of the online application.                - Only during the last step of the online application.                - Not applicable. My answer was NO.      10. Do you have any comments or feedback regarding your personal experience or preference on making financial            investments via an online application form? Results 1. Credibility 80% = branding / well known institutions 40% = affiliates with well known institutions 20% = credible logos Conclusion: - Make all branding, trust logos & iconography clear to ensure the user the online application is credible and safe. 2. Commitment 60% = will commit and apply online 20% = wants human interaction 10%  = concerns about security 10%  = don’t have enough knowledge Conclusion: - Make sure the content is written in a conversational but professional tone. - Offer the user the option for human interaction at any time during the process with a chatbot. - Offer the user the option to converse with a human advisor during the setup of the financial roadmap. - Security has been addressed in the previous step. 3. Trust 60% = Last step 20% = 2nd step 20% = No preference Conclusion: - Most users are reluctant to enter very personal information during the first step, especially if it’s their first financial encounter online. - The large amount of scams make users wary of providing personal information. - First gain the user's trust, then ask for personal details. 4. Experience 70% = Current investments 70% = Done with human interaction 20% = Done online 30% = NO experience Conclusion: - Most of the users have previous experience with investments, although it is mostly with human interaction. - Provide sufficient content for the inexperienced investor. - First time investors will feel more comfortable if they know there’s an option to interact with an advisor during the process. User Flow Working with a consultant The consultant and the customer work together to assess their opportunities and risks, define goals and lay out the overall strategy. The consultant suggests the best methods of achieving financial goals and the most appropriate instruments for the job. Requirement I simplified the work with the platform and divided it into several steps — the user is not overloaded with details, fills out forms in small increments, and understands the next steps. USER INTERFACE DESIGN Website Mobile Version User Story Imagine that a bunch of people visit our website. These are mostly in their mid-30s and have either: 1. Clicked through from a facebook ad that promises an easy way to figure out how you should invest your money 2. Clicked through from a google search result for ‘how to plan my investments’ 3. Referred by a friend to check out our site because ‘I invest my money there as well’ UI and Visual Design Choosing the right font - Used old style serif font to give the sense of trust and experience Choosing the right Color - A mix of Amber and earthy violet to give sense of wealth with warmth

The product is focused for inside sales reps who sell remotely or support, sales by warming up the lead. Current methodologies involve use of many products such as CRM, Dialer, Email, Social media etc to understand and reach out to the customers. Since it has many steps and which needs to followed across multiple leads/business prospect sales rep finds it hard to keep track of the process and loses many opportunity to close the business . Problem Statement Inside Sales Reps work with CRM systems to work on the leads assigned to them to setup meeting or close the deal. They need to make the entry into CRM system for every interaction with the lead so that managers can view the report. It takes 6-8 attempts to connect with a lead before a meaningful conversation. But keeping track of all the calls and emails sent to a lead becomes very difficult and almost impossible to ensure that at least 6–8 attempts to connect are made with each lead. Sometimes the sales process is three to eight months long or even longer and in the meantime Sales Reps loose the context or changes then the leads gets dropped, hence loss in business. The sales process for Inside Sales team is three step Sales Prospecting  — Find the leads from the business that can be the prospective customers(). Sales Nurturing  — Engage with the leads through various medium such as Email, Call, Social media and one-on-one meetings. Close the Deal  — Once the prospect is ready to buy then complete the sales process or send lead to Sr Sales Reps. Old interface User Research Stakeholders Interview  — Interview sessions with Founders, Product Managers, Sales team, Customer support team, Marketing team indicated that the existing product has low adoption, customer churn rate is very high and product demo-to-conversion is less than 10%. Bad user interface.Low product demo to conversion(10%).Less product features than competitors. Evaluation of Existing Interface  — Existing interface provided all the tools to connect with leads and manage the list well, but it lacked good method for monitoring the impact of work. Online calling was available but wasn’t tied to any workflow.Bad task management. No good reports to improve the sales process. Contextual Enquiry  — Interviews were conducted with seven users. Users were either using the existing tools, competitors product or combination of multiple tools to complete their goals. Key findings of the user research was following 7–8 attempts are required to connect with leads but there was no way to ensure that each lead is getting equal attention. With new leads assigned to the sales reps old leads don’t get equal attention.There was no way to help sales reps personalize the emails to the leads so that response is higher.History of interactions with leads was not visible to the sales reps.Inbound lead request which was very high value was getting lost in the lead pool.Reps have to work on CRM systems and when they are not logged into InsideSalesBox then they lose context and miss important messages.If a lead is contacted on the social media before cold call then chances to close deal is 80% higher.Sales Reps needed learning tool help them improve their sales pitch and take feedback from the sales managers. User Persona Most of the sales team has two level of hierarchy one is the inside sales rep, responsible for the everyday calling on leads and other is manager, responsible for monitoring and mentoring the inside sales team. Information Architecture All tasks/activities of the users have been grouped in the following larger groups. Reports/Monitor, Allows user to view the efforts and monitor of the progress of leads in the system. Lead Management , Allows users to view, manage, and distribute leads to all the sales reps. Task Management , Inside sales reps have list of tasks that needs to be completed during the day, tasks helps them to complete all of them. Sales Process Management , Sales outreach process of each business differs based on the sales cycle, sales process management allows them to create, monitor and improve the sales process for organization. User Settings , It allows users to manage their phone numbers, email addresses, and all the custom settings for the application. Synchronous Notifications , It is the real time notification of the activity of the leads so that sales rep can immediately respond to the lead. Third Party Integrations , updating the sales activity to the third party tools such as marketing automation and sales CRM is tiresome process, which is mandatory for the sales reps to complete for better reporting. Integrations allows them the sync the activity data without filling up any form in CRM systems. Design Explorations When the product vision was set we started with the initial doodles to quickly reach the consensus on design direction before spending time on the detailing of the product. PRODUCT VISUALIZATION Once the larger vision was set and consensus on the design direction was decided we started to work on the design and setup analytics tool to measure the impact of design and user adoption. 1- QUICK RESPONSE TO INBOUND QUERY OF LEAD Inbound query of lead is either a phone call or email by the lead. Earlier the inbound queries were not responded on time because there was no way to track the response. New design show all the inbound queries in form of notification and it doesn’t disappear unless user takes action. Product Testing We have included both qualitative and quantitative user testing in the process to make the product decisions. Weekly user testing sessions were planned to understand the user behavior and how he is using the product. Achievement “Sales demo to conversion increased by 300%” Other Features Daily Work Plan Get a view of the tasks for the day in a single shot. Prioritize calendar, execute similar tasks  with complete focus on sales prospecting. Inbuilt Dialer Software Phone dialing controls for manual and auto dialing including Click to call Inbound Call Management System Inbound call routing to lead owners with relevant lead information and tags, including rep mobile connects in case of non-availability

Implementation of HubSpot and Automation of marketing processes to create a sustainable marketing funnel with 150% more traffic and improved Conversion rate by 200% Background Ameyo is an all-in-one software based communication solution that manages end-to-end customer journeys and consistently delivers exceptional customer experiences. It is a powerful and highly flexible IP-based contact center software that lets you have a personalized interaction with every customer across multiple channels, thereby driving customer engagement to a level par excellence Skill Used Inbound Marketing, SEO, Information Architecture, A/B Testing, Challenges Website Design Ameyo required a redesign of three product websites that are part of their product portfolio. While ensuring that the websites were acting as an extended member of the sales and marketing team, by being set up for lead generation and lead nurturing.  Better Lead Generation Ameyo not just wanted to improve the no. of leads coming through website but create an optimized customer journey towards goal conversion. This required the building of lead nurture pathways to ensure frequent touch points would nurture leads over time. A Requirement for Marketing Automation For achieving all above Ameyo needed a marketing automation tool integrated across the organisation which would synchronize with their current CRM system, Sugar CRM. At the time, Ameyo only had a Marketing team who was limited in the amount of time he could spend on Inbound Marketing. Solution Creating Ideal buyer persona Before going into generating content and creating a website, it was important to identify our core customers and create a buyer persona. and generate content and while optimizing his journey in to a qualified lead. We did a detailed persona research and to know each customer type’s top pains and conversion points Content Generation & Marketing We created an complete content strategy using HubSpot's Marketing Automation which focused on quality content generation and effective social media promotion. This involved creating informative and useful blogs along with downloadable content which were used to capture, monitor and nurture leads generated via the website Implementing The Complete Inbound Marketing Process The secret behind a successful inbound marketing program is a comprehensive strategy that guides prospects from click to close. After conducting persona research and laying out each customer type’s top pains, solutions and questions asked throughout the buyer’s journey. We updated the company’s brand story with an upmarket look and feel that would differentiate its as a brand. Plus, we developed a SEO strategy that included top business keywords for core website pages and content. Only after these initial strategy steps did we move on to choosing content topics . We created an editorial calendar with a set of new inbound marketing offers for the awareness, consideration and decision stages of the buyer’s journey, targeted to the personas’ pains. We also completely redesigned the company’s website, moving through the following steps: Planning Concepting Creating a page-by-page blueprint Developing on-site SEO for each page Including new messaging on each page Designing pages with sleek graphics and video Building the website using HubSpot Performance & Results In less than five months, Ameyo’ website traffic more than doubled and the company expanded its geographic footprint through new partnerships. The leads continued to be nurtured with targeted content and email marketing campaigns via HubSpot. The content serves as a hub for the client’s entire marketing program spanning web, digital, social and traditional. The success did not stop there. In the past year, the campaign exceeded its marketing goals with performance metrics including: Website 150% website visit increase 200% landing page conversion rate Emails 190 % email open rate increase 222% email click-through rate increase Contacts 529% contacts increase 703% leads increase

Enterprise level Customer Interaction Software with Helpdesk capabilities.with features like Power Dialer, Ticketing, Multichannel Interaction Problem Statement Redesigning the existing Call Center Software (Web Application) with adding additional features like Ticketing, AI, Knowledge base, Chatbot. To create an unique Fusion of Call center and Ticket Management Software My Role UX Design, UI Design, Product Walkthrough