Corporate Training for AI & Function Point Analysis

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Problem
Statement

Our client, a prominent media conglomerate with a global footprint specializes in facilitating connections between individuals and businesses within niche markets, They excel in Marketplace Websites, Job Boards, E-Commerce, and Web Services. Despite their industry prominence, they encounter several operational challenges. On the product end, the discovery phase lacks strategic planning and alignment with long-term roadmaps leading to misaligned ticket prioritization and inconsistent N+2 sprint readiness. Incomplete technical specifications coupled with team members' insufficient product knowledge hinder efficient development. Additionally, the estimation process is ill-defined and lacks standardization, resulting in inaccurate estimates that do not align with project goals.

Solution

To tackle these challenges, Mazenet, a leading corporate training provider conducted a comprehensive two-day instructor-led training program to address the development team's estimation challenges and enhance their overall efficiency. Led by a seasoned project management expert with over 15 years of experience, the 16-hour training session combined theoretical foundations with extensive practical application. The curriculum emphasized hands-on exercises, covering estimation techniques such as Function Point Analysis, Story Points, and T-shirt Sizing. By focusing on these methods, Mazenet aimed to equip the team with the tools necessary to accurately estimate project timelines and resource requirements. Additionally, the training program delved into improving sprint readiness, enhancing product knowledge, and implementing rigorous review and validation processes for estimates. This holistic approach ensured that the team's efforts were aligned with strategic business objectives and product roadmaps.

Outcome

Our corporate training program yielded immediate results, significantly enhancing the team's estimation capabilities. Participants exhibited a marked improvement in their ability to generate accurate and reliable estimates, leading to more effective planning and ticket prioritization that aligned closely with business goals. The team's readiness for N+2 sprints also increased substantially, accompanied by a noticeable improvement in the quality of technical specifications. Enhanced product knowledge fostered better collaboration and team performance, while the implementation of robust review and validation processes contributed to more successful project outcomes with reduced unforeseen challenges.