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Kelusha Kolonnage

From Data to Decisions: Hiring Data Analysts Who Move the Needle

Companies waste millions hiring data analysts who build beautiful dashboards nobody uses. The spreadsheets look perfect. The visualizations win design awards. But revenue stays flat because these analysts can’t answer the question that actually matters: “What should we do differently?” The difference between dashboard builders and problem solvers costs companies

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Kelusha Kolonnage

High Bounce Rates On Apps Explained: UI/UX Red Flags That Kill Conversions

You spent months building your app. Thousands of dollars on development. More on user acquisition. Users download it, open it once, and never come back. High bounce rates aren’t mysterious. In most cases, they’re caused by specific UI/UX design problems that repel users within seconds of opening your app. According

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Kelusha Kolonnage

Product Owners vs Product Managers: Which Role Your Development Team Actually Needs

Your development team keeps missing sprint goals. Features ship late. Developers complain they don’t understand business priorities. Meanwhile, stakeholders question why the team builds features nobody uses. You know you need someone to bridge the gap between business and technology. However, job postings confuse you with overlapping titles: Product Owner,

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Kelusha Kolonnage

Why Technical Business Analysts Cost 40% More (And When They’re Worth It)

Your business analyst attends every requirements gathering session. They document stakeholder requests meticulously. They create comprehensive Business Requirement Documents that run 50+ pages. They schedule follow-up meetings to clarify details. They produce process flow diagrams using industry-standard tools. Yet projects still miss deadlines. Development teams build features that don’t solve

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Kelusha Kolonnage

Manual vs Automation Testing: How to Hire the Right QA Engineers for Your Stack

Your QA engineer executes every test case in the test plan. They document results meticulously in JIRA. They run automated testing suites on schedule. They attend daily standups and provide status updates. They log bugs with detailed reproduction steps and screenshots. Yet critical issues still reach production regularly. Users discover

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