Projects with no more than 10 options to be ranked, such as ranking options suggested during a small team meeting, are well suited to Order Rank. OpinionX offers free stack ranking surveys with multiple different ranking formats, such as Pair Rank (a series of head-to-head votes on a list of options) and Order Rank (drag-and-drop list), all available on its free tier.Įach collection method is particularly suited to projects with specific characteristics, which means that the collection method you use should not be pre-determined before these characteristics are understood: Best suited to projects that aim to understand the range of perceived importance of each option, showing whether there is consensus about its position in the ranking. This data collection method is the least comparative and therefore often results in results with very small differences in the average answer (everything tends to end up with a score of about 5.5-8 out of 10). Slider Rank: move a slider scale to show what degree of importance each option represents for the participant. Note: you can’t add new options to your MaxDiff survey mid-project, so it can only be used for Closed Stack Ranking. MaxDiff Analysis: presents participants with a list of options and asks them to select the highest and lowest priority options, typically repeated multiple times with an automatically changing list. Pair Rank: selects pairs of options for the participant to select between in head-to-head comparisons, which is used to calculate overall importance. Order Rank: present participants with a full list of options, which they each manually place in order from highest to lowest priority. Therefore, there are a number of data collection techniques that you can use as part of a stack ranking experiment: Stack ranking is best known for the output of its research - it translates qualitative options (statements, images, opinions) into quantitatively-ranked data (importance scoring, value measurement, priority ranking). Open Stack Ranking: Participants vote on existing statements but can also submit new statements that can be added by a moderator to the voting list mid-project. Depending on your aim, there are two different types of stack ranking projects you can run:Ĭlosed Stack Ranking: Participants vote on a predetermined set of statements so that they can be ranked by overall importance to the group. Stack ranking is a research method that involves asking people to compare a set of statements and select the ones that are most relevant to them. We had unknowingly created an entirely new way for startups to validate their ideas and value propositions.Ĭheck out that case study and guide - which has since been used by researchers at hundreds of companies including Canva, Google and Spotify - here. By the following day, that case study was one of the top 10 startup posts of all time on Reddit and was being shared by top publications like Techstars and First Round Review. The following week, I wrote a short case study and step-by-step guide describing the research approach we had followed. By the end of that same week, our entire metrics board was lighting up like a Christmas tree - we had multiplied acquisition, activation, conversion, referral and the number of customer testimonials all within days of implementing the results of our stack ranking research. We designed and ran multiple stack ranking projects in just a matter of hours. The best way to understand a new concept is to see it in action in real life, so let’s just cut straight to the best part…īack in March 2021, I used stack ranking for the first time to try and diagnose why we had no traction at my early-stage startup 6-months after launching. Instead of adding to that wealth of information, we’re going to focus specifically on running online stack ranking research projects. The internet is full of useful advice for in-person moderated ranking exercises like card sorting. Our aim for this guide is to give you straightforward, practical advice for running effective online stack ranking. Give your stakeholders an active seat at the table by structuring their opinions and feedback. Understand the difference in priorities that exist between segments of people. Measure which problems have the biggest impact on your users, customers or community. Prioritize which customer problems or feature ideas to focus on in your next product roadmap. Move your team from indecisive inertia into action by adding data to your decision-making. Stack ranking is useful when you want to: Stack ranking research turns a set of qualitative statements into quantitative results, helping you to make better-informed and more confident decisions based on real data. Stack ranking is a research method for measuring the importance or priority of a set of options to a group of people.
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