What are some of the KPIs that should be focused on when launching a new feature of an existing product?

See my answer above - the KPIs that you choose when launching a new feature of an existing product should always be tied to business outcomes.  When you launch features vs products, oftentimes the business goals can be framed in terms of product adoption and cross-sell / up-sell.  Here's an example.  Let's say you have two products: A and B. This feature is available on Product B only. Let's say launching this new feature may entice customers who have bought Product A to add on Product B. Your g ...Read More

There are two levers I think about when deciding how we should measure launch success: Are users successfully adopting the product/feature? Are we successfully attracting users to adopt the product/feature? The first bullet point is all about the product experience, and speaks to the partnership PMM must have with PM to effectively measure usage and engagement. Product might have north star metrics that you can align with, or sometimes it requires identifying new usage metrics and partnering wit ...Read More

When launching a new feature of an EXISTING product, it can be difficult to attribute financial metrics to a single feature launch. Here are some things to consider as KPIs for your feature launches. Package upgrade rates or package mix. This is helpful when a new feature is launched only in certain packages you offer. Average deal size. Great if the feature is a paid value-add to a solution you currently offer. Win rates. If a feature was highly requested or cited as a reason for previously los ...Read More

When launching a new feature for an existing product, it's important to keep in mind that the selection of KPIs may vary based on the type of feature, your target audience, and your company's desired outcomes. From my experience, some KPIs worth considering are those related to feature and product adoption, such as tracking the number of users who actively engage with the new feature and monitoring the overall usage patterns. Additionally, metrics related to pipeline generation and CLTV can prov ...Read More