This data then helps us figure out what problems to focus on each month - eg. Then we filter the ranked results to look at the top ranking problems according to customers on each of our pricing tiers. We take that list of problem statements and share it with our entire user base using a Pairwise Comparison ranking survey. My stack rank templates include ones for roadmap prioritization, idea validation and team workshops.Īt OpinionX, we look at all the feedback we’ve received from users each quarter and create a list of problem statements. I built a number of stack ranking templates, which can be found on the Sample Survey gallery inside OpinionX - a research tool we built specifically for stack ranking (used by teams at Google, Amazon, and Microsoft). To learn more about this “customer problem stack ranking” experiment, check out the short video case study below or read this viral blog post explaining the process we followed. Within a week of starting this stack ranking experiment, we had multiple paying customers, our landing page was converting to trial 3x better than before, and we even had our first customer testimonials! So the next morning we rewrote our landing page and product onboarding flow to match these 5 high-ranking problems instead. But the biggest surprise for us was that 5 of the top 7 highest-ranking problems were actually very similar to the one we were trying to solve! In just one evening, we drafted a list of problem statements based on our customer discovery interviews, shared them with 600 target customers, and could already see in the first two hours of voting that our key problem statement was ranked dead last out of 45 options. We decided to run one last experiment before giving up, where we would ask a bunch of our target customers to stack rank a list of problems so we could see where the key problem we were focused on solving ranked in their list of priorities. While agile stack ranking started off with sticky notes on a wall, it has since developed into more advanced methodologies like Pairwise Comparison, the KANO Model, the MOSCOW Method, RICE scoring, and more.Įxample Of Stack Ranking Used In A Real Life Scenarioīack in early 2021, 6 months after launching my first startup, we had just lost our only customer and were trying to figure out why nobody seemed to understand the value of our product. Stack ranking is a perfect tool for these exact scenarios. This meant teams had to become excellent at prioritization - figuring out which customer needs were most important to address first, which parts of the existing product to improve next, which ideas had the most risk or reward potential. Agile’s focus on maximizing value for customers and continuously improving the product after you deliver it. Stack ranking took on a new meaning after the launch of The Agile Manifesto in February 2001. Employee stack ranking went out of fashion during the 2000s - Microsoft officially stopped using it in 2013 and companies like Facebook and Amazon have been claiming for years (to mixed degrees of believability) that they also no longer use it. CEO Jack Welsh in the 1980s) where managers rank their employees and rewards the top 10% while firing the bottom 10% of performers. Stack ranking originally referred to the employee evaluation method (popularized by G.E. In these three examples, there’s no obvious data you can use to rank the options, but by comparing the options against each other, we can stack rank them in order of relative preference. ▸ Ranking your favorite movies from the Marvel cinematic universe. ▸ Each team member ranks the interview candidates based on suitability for the role. ▸ Asking customers to rank a set of problems based on which they’re most keen to get solved. Here are three scenarios that can be considered stack ranking: None of these examples can be considered stack ranking because they each use an objective data point to sort the list from first place down (monthly streams, league points, average user rating). ▸ IMDb ranks the “Top 250 Movies Of All Time” based on average viewer ratings from 1-10 stars. ▸ The Premier League ranks soccer teams in England based on their points on the leaderboard. ▸ Spotify ranks musicians based on their total number of streams in the previous 30 days. Here are three examples that can’t be considered stack ranking: Instead, stack ranking compares the options against each other subjectively in order to put them in order from first to last place. Unlike regular ranking methods, stack ranking is used when there’s no objective data points that can be used to rank the options. What is stack ranking? How is it different to normal ranking?ĭefinition: stack ranking is a method for ranking a list of options based on their relative importance.
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