Sayan Malakar

Built and launched a GST-compliant invoicing MVP for SMBs; acquired 150+ users in 4 weeks with 50%+ activation. Conducted 10 SMB interviews and analyzed 200+ user reviews of invoicing tools to identify workflow pain points; created a 3-persona framework to guide feature prioritization. Wrote the product requirement document (PRD) for MVP to v2.0, including user stories, acceptance criteria, success metrics, and roadmap. Improved onboarding activation from 32% to 51% through A/B tests on signup and first-invoice flows. Designed a self-serve onboarding funnel that enabled 70% of users to complete setup without support and reduced support tickets by 60%. Built AI-assisted receipt OCR and expense categorization workflows using Tesseract, Claude API, Make.com, and Gmail automation.

Supported growth strategy for a fintech SaaS product by conducting ICP research through 15 customer interviews and analyzing demand generation funnel performance. Proposed and executed a GTM repositioning from solution-led to problem-led marketing; launched FB acquisition campaigns that generated 80+ qualified leads within 6 weeks through iterative creative testing. Built a self-serve content funnel using ROI calculators and case studies, helping reduce the sales cycle from 45 days to 35 days. Used SQL to segment 200+ customer accounts and identify a high-value cohort with 12% quarterly churn, informing retention priorities. Worked with sales and engineering teams to convert customer insights into backlog-ready user stories and growth experiments.

Helped shape GTM strategy and early product roadmap for a new EdTech offering through user research, funnel experiments, and cohort analysis. Collected 50+ survey responses and ran 2 pilot cohorts; validated early value proposition with 75% completion, 4.2 NPS, and 89% satisfaction. Ran weekly creative experiments across 5 FB ad variations, achieving a 35%+ reduction in CAC and scaling lead generation to 500 leads/month. Designed a self-serve onboarding and lead-scoring flow that improved conversion from 2.1% to 4.1%. Built AI-enabled nurture email workflows using Make.com and Claude API, reducing manual operations from 8 hours/week to 2 hours/week. Analyzed cohort retention and identified a 35% drop at lesson 4; partnered on redesign hypotheses and follow-up tests.