Completion Rate

Completion Rate shows the percentage of users who successfully finish a defined process, like a checkout or sign-up flow. It focuses on whether people reach the intended end of an experience.Use this metric to evaluate journeys where partial progress isn’t enough, such as payment, onboarding, or applications. It’s particularly useful for measuring conversion effectiveness and identifying if users are giving up just before the finish line.If completion is low, it’s a sign that users may be running into blockers, confusion, or motivation gaps. Boosting this metric requires smoothing the path and reinforcing confidence through each step.Interpreting the ResultsUse this key to understand what your Completion Score score means and how to interpret that for your product experience:How to Calculate CompletionThe Completion Rate measures how many users successfully finish a specific task or flow, such as signing up, completing checkout, or submitting a form. It’s a key metric for understanding usability and funnel performance.Define what to trackTo measure Completion Rate, define the start and end points of a flow—like entering the first page of checkout and completing payment. Then set up event tracking to capture when users enter and successfully complete that flow. You can use analytics tools or product event logs to track this behavior.Collect dataOnce tracking is set up, gather data on how many users began the process and how many reached the final step. For example, if you’re measuring a checkout flow, you might collect the number of users who entered the first step and those who reached the confirmation page.Plug data into the formulaCompletion Rate is calculated using this formula:You’ll need two key data points:Started: number of users who began the processCompleted: number of users who reached the intended end point
 Divide completed by started to calculate the completion rate as a percentage.Calculate the Completion RateFor example, if 200 users started the checkout and 128 completed it:This results in a Completion Rate of 64%, which may be considered Average or Good depending on the type of task. A higher completion rate typically indicates clear UX and low friction across the flow.When to Use Completion RateCompletion rate is invaluable for evaluating the performance of essential tasks and conversion-focused interactions within a product. By tracking completion rates, teams can uncover potential barriers that might hinder users from fully engaging or achieving their goals.For example, this study looks at how increasing the rate of checkout completion can raise sales by reducing abandoned carts. When more customers complete their purchases, it directly improves revenue and shows the checkout process is smooth and effective.Case Study Link.Onboarding FlowsMeasuring the completion rate during onboarding highlights whether users can successfully navigate through setup steps. Low completion rates can signal points of friction that, if addressed, can improve early-stage engagement and retention.Form SubmissionsTracking completion rates for forms (e.g., lead capture or registration) can reveal whether certain fields or instructions cause drop-offs. Insights from this metric help in simplifying forms for better completion.Checkout ProcessObserving completion rates in the checkout process offers a clear view of any obstacles preventing purchase completion, guiding refinements that streamline the path to conversion.How We Measured Completion Rate for Getup’s Checkout FlowTo evaluate the efficiency and effectiveness of Getup’s online purchasing experience, we tested the Completion Rate of their e-commerce checkout flow. Completion Rate provides a clear indicator of how successfully users are able to move through a multi-step process from start to finish.The SetupCompletion Rate is calculated by measuring the percentage of users who successfully finish a defined task or flow—such as checking out—compared to those who began it. This includes accounting for both successful completions and user drop-offs at various steps in the journey.The ResultsGetup’s checkout flow achieved a Completion Rate of 64%, rated Very Good on the Glare scaleMost users were able to complete the shipping step, though minor drop-offs occurred at the payment input stageThe step indicator and simplified form fields helped maintain user momentum throughout the processThe ImpactThe strong Completion Rate helped validate that Getup’s checkout experience was on solid ground from a usability and clarity standpoint. Still, the data signaled opportunities to reduce friction in the payment and confirmation steps. As a result, the team began experimenting with inline validation and one-click payment options to further streamline the flow.SourceCSVHow to Use AI to Measure Completion RateThis AI prompt can be used to calculate the completion rate of your platform. Once you've collected data on task starts and task completions on your site, you can feed that data into an AI software using a CSV file along with this prompt.Copy this AI prompt to calculate your own Abandonment Rate, and check out the type of output it would produce:Technicals for Measuring Completion RateOverviewWe’ve built out a UX Metric framework that we’re using in our Helio platform. Here, we’ve laid out what we’ve done, and how other developers can also start to use this. You can also become a Glare Code Contributor to help implement these in ourUX Metric framework.How to Use Completion RateWith our framework, you can use the Glare::Analytics::GoogleAnalytics module grab your site or application’s Completion Rate.Here are the steps:First we have to require the module in order for us to use it.We need tograb our property idforGoogle analyticsfor starters and make sure our application has both GA4 and Google Tag Manager hooked up.We’ll insert our property id into our GoogleAnalytics::Credentials module so that we can create a credential instance.credential will now be used in our GoogleAnalytics::Client to generate a client instance.With this client instance, we can now use our completion_rate method which will return a percentage point as a float.ResourcesThe Resources section provides a collection of articles, case studies, methods, and blog posts to support your work within the UX metrics framework. These materials offer insights into best practices, research methodologies, and practical applications for improving design comprehension and usability. Whether you're refining your design process or conducting user research, these resources will help guide you towards data-informed, user-centered decisions.ArticlesWhy Completion Rate Is a Key Customer Experience Metric You Need to MeasurebyForethoughtCompletion rate measures the percentage of users who successfully complete a desired action, such as finishing a help article, filling out a form, or finishing a guide and serves as a key indicator of how effectively your self-service content meets customer needs.What Is A Good Task-Completion Rate?byJeff Sauro, PhDContext matters in deciding what a good completion rate is for a task, however, knowing what other task completion rates are can be a good guide for setting goals.How to Measure UX Success: Key Metrics Every Designer Should TrackbyDaria ZaytsevaUser Experience (UX) design is more than just creating beautiful interfaces. It’s about crafting experiences that solve problems, drive user engagement, and meet business goals.Helio MethodsVideo Testingby HelioInteraction Matrixby HelioHelio Case studiesHelloFresh Membership Offer Effectivenessby HelioValidated Banking Site Landing Page Concepts, by HelioHelio blog postsMastering Copy Testing: Your Ultimate Guide to Crafting Irresistible Copyby Bryan ZmijewskiWho’s the Heavyweight in the Fight Between Long and Short Copy?by Bryan ZmijewskiUnraveling Buyer Intentby Bryan ZmijewskiFrom Mobile-First to User-First: Rethinking Responsive Landing Pages, by Bryan ZmijewskiThe Helio Data-informed Design Process, by Bryan ZmijewskiTake This Further with the UX Metrics AI SkillsCompletion Rate tracks the percentage of users who finish a flow or task all the way through. TheUX Metrics AI Skillsis a package you load into your LLM so you can ask questions and get expert answers anytime.Find out what is stopping users from finishing key flowsSet completion rate targets for forms, checkouts, and onboardingCompare rates across user segments or product versionsUse completion data to measure the impact of design changesDrop it into your LLM and start asking questions right away.