In December 2022, Loris's executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs) with empathetic, on-brand responses to text-based live chat (live chat) conversations, and 2) Insights which provided customer experience (CX) leaders with CSA performance and customer satisfaction (CSAT) data. Loris was also developing a third product: Automated Quality Assurance (AQA) which analyzed quality assurance in customers' email and live chat conversations. The Loris team faced challenges to growth with prospective clients cutting costs through laying off their CX leaders and automating customer conversations through chatbots including the recently-released ChatGPT generative AI chatbot. To increase marketplace traction in preparation for raising a Series B round, the Loris team was reevaluating two aspects of its go-to-market strategy. First was sales approach: Loris previously used a sales-led growth model with robust marketing and sales teams, but had begun experimenting with product-led growth (PLG) which focused on developing exceptional products so that word of mouth would drive quick and exponential sales. Loris's PLG efforts had little success, though, and the team wondered if they should continue with PLG, revert to sales-led growth, or pursue pay-for-performance where clients only paid for Loris products upon Loris's achieving agreed-upon revenue or cost savings. Second, was product strategy: Loris had been offering Agent Assist and Insights as a bundled suite, but was considering using one of those products or AQA as a foot-in-the-door approach to cross-sell and upsell other products. Which sales and product strategy would help Loris grow, especially given the threat from ChatGPT which both raised awareness of AI tools like Loris and served as competition to Loris?