Projects using Analytics Canvas
Projects using Analytics Canvas
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Marcel Ruettgers
pro
Growth & GTM Strategy for European Pet Care Brand Launch
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Blends Commerce| Creative Agency
Shopify CRO Optimization for Hunter Boots| 10x page conversion
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Gbenga Alabi
pro
6,000+ Leads Generated in 7 Days on Tiktok and Meta
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Michael Dickson
pro
Shopify & Framer - Custom Shopify Storefront for Desiregem
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Bukola Aladesulu
Upthrive's Content Strategy & Brand Positioning
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3
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Sabrina Pate
Service: Social Media Content & Digital Ads The Description: High-impact digital ad designed to grab attention on social media. It uses a modern, tech-focused look to show how software can handle the heavy lifting for businesses, like growing a customer base and automating daily tasks. Service Value: Graphics that help you explain new technology in a way that feels approachable. This is a great example of how I can take a technical tool and present it as a clear, easy-to-understand solution for your audience.
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Rishni Perera
AI-Powered LMS: Enhancing Career Transformations
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BABLOO KUMAR SAH
LINKEDIN ANALYTICS CHROME EXTENSION Launched LinkedIn Profile Analytics Chrome Extension 📊 ✅ Real-time profile view tracking ✅ Visitor insights & analytics dashboard ✅ Connection growth metrics ✅ Post engagement analyzer ✅ Profile optimization recommendations ✅ Export data to CSV/Excel ✅ One-click installation from Chrome Store Perfect for: 💼 Freelancers & job seekers 🚀 Content creators 📈 Business development pros 💰 Sales professionals Monitor your LinkedIn impact instantly! Building smart tools that scale your reach 🔥 What Chrome extensions would help your workflow?
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ASAD RAZA
Social Media Content and Strategy Services
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Peter Mkwawa
Launch of Financial Marketplace with Stanbic Bank Tanzania
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Kami Harcej
“When decisions become real without valid authority” This work examines how AI-driven decisions can appear valid while lacking the authority or conditions required to become actionable. It focuses on a critical gap: – outputs are treated as admissible – decisions are accepted as valid – but authority and conditions are never fully established The analysis highlights: – where systems assume authority rather than explicitly validating it – how admissibility is inferred instead of resolved – where decisions become actionable without sufficient grounding – why systems can execute correctly while lacking valid basis The goal is to identify where decisions are allowed to become real, not because they are admissible, but because nothing prevents them from being treated as such.
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Jori Aguilar
Exploring Christian Doctrine: The Book of Romans
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Mansoor K
SEO
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Sabrina Pate
Strategic Marketing Collaborator | ROI Webinar Showcasing expert-led insights on utilizing CRM systems to drive event ROI. Managed digital asset coordination for cross-platform industry webinars. Proven ability to integrate advanced data analytics and CRM tools to fuel measurable success and growth for high-stakes corporate exhibitions.
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Kami Harcej
Decision Integrity Stress Test A structured approach to identifying where AI-driven decisions fail under real-world conditions. This work focuses on testing whether decisions that are: – correct – compliant – and authorized …remain valid at the moment they are executed. The stress test surfaces: – where decisions drift from their original conditions – where systems cannot re-establish grounding – where inadmissible actions are still allowed to execute It is designed to identify failure points that do not appear in audits, logs or standard governance processes. Used before deployment, it helps ensure that AI systems can withstand real conditions - not just pass validation on paper.
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Kami Harcej
This work demonstrates how AI outputs can appear valid while still being unsafe to act on under real conditions. It focuses on the gap between: – what a system produces – and what a system is actually allowed to execute The analysis highlights: – how outputs can pass evaluation but fail at execution – why risk emerges at the transition from intent to action – where systems lack constraints at the point of commit The goal is to identify where AI-driven decisions become actionable without being fully validated against current state, authority and conditions.
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