Prateeksha Singh Bhadoria

Owned a 0-to-1 launch of real-time analytics dashboards for enterprise customers, converting customer needs into requirements, user stories, and roadmap priorities. Led discovery sessions and executive discussions with enterprise clients, translating insights into product investments and feature decisions. Defined success KPIs and operational metrics, and worked cross-functionally to deliver AI-powered initiatives with measurable performance improvements and end-to-end lifecycle execution for 20,000+ MAUs.

Developed product requirements and user stories with acceptance criteria to support Agile delivery, product discovery, and roadmap execution. Collaborated with cross-functional stakeholders to improve product adoption and enable data-driven decisions. Delivered migration programs aimed at minimizing business disruption while improving information discoverability and operational efficiency through structured requirements and coordination.

Partnered with stakeholders to define product requirements, customer needs, and user workflows for enterprise search and knowledge discovery platforms. Supported Agile ceremonies, UAT validation, and requirements traceability to ensure end-to-end delivery quality. Assisted in managing user acceptance activities and aligning requirements with release outcomes for the platform.

Collected and translated enterprise customer requirements into enhancements for a speech analytics platform focused on customer-centric product outcomes. Supported Agile ceremonies, UAT validation, and requirements traceability to maintain delivery rigor. Participated in end-to-end delivery of system changes aligned with user needs and acceptance criteria.

Prioritized and delivered multiple enterprise feature requests to improve analytics usability. Focused on enhancing search and analytics workflows for enterprise adoption. Supported product-oriented prioritization and implementation planning to deliver improved customer outcomes.

Built an analytics dashboard experience for enterprise customers starting from an early stage to production delivery. Designed scalable data infrastructure requirements and defined product-focused needs to support real-time analytics. Worked on end-to-end product requirements for an enterprise analytics use case.