
Sam Naficy, Prodoscore
Finding Product-Market Fit in a Category Nobody Asked For
Sam Naficy is the CEO of Prodoscore, a SaaS platform that uses AI to show companies how work gets done by analyzing data from the cloud tools employees already use every day. Sam's startup journey began in 1998 when he built DTT (later renamed DTIQ), a SaaS company providing video and data analytics for restaurants, hotels, and retail. He scaled it to $55M ARR and 550 employees over two decades before it was acquired by Cisco's private equity firm. After stepping away, a close friend pitched him a new idea. Sam came on board as an investor. Then, just months before the pandemic hit, he stepped in as CEO of a pre-revenue startup. What he walked into was tough. Most people assumed Prodoscore was just another employee surveillance tool. Finding product-market fit meant flipping that narrative entirely - making the product employee-centric with personal dashboards and AI-driven recommendations instead of mouse tracking and screenshots. The process of finding product-market fit also meant narrowing a massive TAM. Prodoscore went from targeting "anyone with Salesforce" to 100+ seat mid-market companies, and then discovered staffing as their number one ICP - a vertical nobody on the team had predicted. Along the way, COVID brought outsized press coverage from CNBC and the Wall Street Journal to a 4-person company that wasn't ready to convert all that attention. Sam shares what he learned about timing, capital, and the patience required to educate a market that doesn't know it needs you yet. Today, Prodoscore is a high 7-figure ARR business with roughly 150 customers, 135,000 employees on the platform, and an AI engine that can predict employee attrition 90 days in advance with over 90% accuracy.






















