Explore selected work 4 stories
Idea Workspace + Idea Pipeline
Product vision: make Idea Workspace the place where an idea can start, be evaluated, move forward and eventually reach an explicit outcome instead of disappearing into a document or conversation.
I own product vision, roadmap and prioritization for the platform, working with engineering and stakeholders while shaping it around the broader Idea Pipeline. Together, the platform and operating model cover intake, AI and human evaluation, refinement, leader decisions, build, scale or closure. Idea Workspace has supported 1,500+ ideas across 50+ campaigns and initiatives.
AI Idea Evaluator
The ask: “Can we use ChatGPT to evaluate an idea?” The actual problem was larger: how do we give every idea a useful first review without sending everything straight to scarce leader attention?
I built the first prototype, validated it with 100+ senior leaders, took it through leadership reviews, and helped turn it into an API integrated into Idea Workspace. It has now processed 1,200+ ideas and works both as the first evaluation layer and as another perspective for human evaluators, saving hundreds of hours of senior leadership's time.
Experience & Innovation Spaces
The ask: "How can we use a physical space to accelerate outcomes for Target in India?" The ask was to turn physical spaces, devices and experimentation capabilities into something teams could discover, access and use for testing, validation, learning and faster decision-making.
I led the discovery, planning, stakeholder alignment, and am shaping the operating model, use cases and adoption paths, while also owning an enabling product with engineering. The software is only one part of making the broader capability genuinely useful.
When the answer is smaller
Supply chain: helped make an existing inventoru forecast simulation capability self-serve for planners, analysts, etc., then focused on rollout, onboarding, requirement gathering and the next iteration. Turnaround dropped by up to 90%, enabling an estimated ~$190M in savings.
GenAI activation: when awareness alone was not changing behavior, I helped turn the GenAI adoption problem into hands-on experimentation through Target's largest GenAI Hackathon: 1,400+ team members, ~200 apps built, which recorded the highest ever internal AI-platform adoption.
Lightweight tools: AI Fluency Pathways reached 1,200+ team members; personalized Slack outreach improved conversion by 300–400%. Both were deliberately small solutions to narrow problems.
Onboarding: a proposed week-long live program became an automated five-week journey which was well accepted and appreciated by >90% of users, with an NPS of over 40. The better answer was to redesign the process, not build another product or start a new initiative.