Juhi Alok Sharma

About Juhi Alok Sharma

What makes a product actually work: the feature, or the moment it meets the right user in the right state?That question has shaped how I approach every problem I\'ve worked on. At Paychex, I don\'t just manage tools - I figure out why adoption breaks down, what friction is costing teams, and what a better system looks like. I\'ve pushed back on AI adoption when success criteria weren\'t defined, deprioritised a plugin with high perceived value because the usage data told a different story, and rebuilt reporting pipelines that moved manager self-serve analytics from near-zero to over 70%. Across these efforts: collaboration satisfaction up 20 points, backlog grooming effort down 30%, helpdesk tickets deflected by 25%.Outside of work, I build. MomentumBuddy started as an AI prioritisation assistant - until four research tracks told me I was solving the wrong problem entirely. The real issue wasn\'t decision-making; it was re-entry friction after a missed session. I pivoted the entire product direction, designed a behavioural state model grounded in implementation intention research, and shipped a live beta on Vercel and Supabase with a Telegram check-in loop. I chose recovery speed over completion rate as the north star metric because completion rate is binary - it doesn\'t tell you whether the product is actually changing behaviour. That kind of call is what I find most interesting about product work.I\'ve also worked through Netflix content discovery (primary research across 32 respondents, RICE prioritisation, 12-month roadmap) and a companion matching platform for group travel (170+ survey respondents, compatibility engine, safety-first onboarding design).I\'m looking to bring this kind of thinking - research-grounded, outcome-focused, willing to kill a bad hypothesis - to a product team building something that matters. Bengaluru

Experience

1. Analyst

   Paychex

   Jun 2023 — Present · Bengaluru, IN

   Before Miro AI rolled out to 2,800+ users, I pushed back on adoption for its own sake - defined success criteria around collaboration satisfaction and manual effort reduction, ran structured user testing, and built the case for a measured rollout. Migrated the full user base to Enterprise, reclaimed ~12% idle licenses, and reduced shadow IT - collaboration satisfaction up 20 points, backlog grooming effort down 25-35%.* Led suite and portfolio restructuring across 7+ suites, applying program→portfolio→suite taxonomy changes across PPM, Jira, Miro, SNOW, and BO to align governance across tools. Cut cross-tool mismatch defects by ~90% and accelerated exec reporting by one cycle per quarter.*Partnered with engineering to define team health metrics and dashboard requirements for 50+ product teams - the goal was to move managers off ad-hoc reporting requests and into self-serve analytics. Automated pipelines reduced manual report prep by ~50% and drove manager adoption to 70%+.* Post-acquisition, led centralisation of org hierarchies across Paycor teams - standardised titles, reporting lines, and access structures to create a single lookup source across tools. Eliminated the need for department-level workarounds, improved resource visibility to 100% of onboarded teams, and cut onboarding lead time by ~60%.* Identified top friction points driving helpdesk volume and built a self-service enablement library to address them directly - deflected 25% of tickets, cut time-to-resolution by 40%, and improved new team lead proficiency time by 30%.

Education

• DY Patil University

  Bachelor of Engineering (B.E.), Information Technology

  2011 — 2015

• Prin. L.N. Wellingkar Institute Of Mgt. Develop

  Post Graduate Diploma in Management, E-Business

  2015 — 2017