FrontRow
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● Understanding user behavior and performing root-cause analysis of changes in data trends
to identify corrections or propose desirable enhancements in product & across different
verticals
● Excellent problem solving skills and the ability to make sound judgments based on trade-offs for different solutions to complex problem constraints
● Defining and monitoring KPIs for product/content/business performance and identifying
ways to improve them
● Should be a strong advocate of data driven approach and drive analytics decisions by doing user testing, data analysis, and A/B testing
● Help in defining the analytics roadmap for the product
● Working with stakeholders, including Customer Support team, Customer Success team and senior executive management to address customer/product problems effectively.
● Providing regular reports to the management on product performance and issues.
● Managing prioritization and trade-offs between customer experience, business impact and product performance.
● Working with the PM team during the sprint releases to help enhance the product with
long-term solutions for product issues.
● Driving the collection of new data that would help build the next generation of algorithms
(E.g. audience segmentation, contextual targeting)
● Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data projects
● Develop user archetypes and build dashboards to demonstrate their usage patterns
● Capture and document data user stories, use cases, and workflows
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We started with a simple question: w̲h̲a̲t̲ i̲f̲ y̲o̲u̲r̲ t̲e̲a̲m̲ c̲o̲u̲l̲d̲ f̲o̲c̲u̲s̲ o̲n̲ w̲h̲a̲t̲ t̲h̲e̲y̲ l̲o̲v̲e̲ m̲o̲s̲t̲?̲
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AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
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