Key Metrics To Measure Rapid Prototyping Success

Rapid concept testing provides design metrics to make faster decisions. We recently wrapped up a 12-week design cycle with a customer, using Helio to collect 37,000 answers from 2000+ participants across 44 concept areas. Working with a stakeholder group of 10+ people, we created incredible velocity. The key to achieving this scale is understanding how we want the design to drive the business. We build confidence in the lift as a leading indicator by aligning concepts with a design metric. Multivariate testing provides us with a baseline for comparison. How does this work? First, we define the KPIs we want to measure on the live site. Then, we identify leading indicators that correlate with these KPIs to give us a sense of potential lift using design surveys. KPIs ↳ KPIs provide quantifiable measures of performance and impact, allowing for objective assessment and comparison over time. Leading Indicators ↳ Leading indicators offer early signals about the concept's potential success or issues, guiding necessary adjustments before full-scale implementation. A single survey test can't answer every design question, but using many questions—in this customer example, over 3,700—gives us strong signals. Here are a few design metrics we use to drive design decisions. Often, we combine these indicators to create a compelling signal. → Comprehension → Desirability → Viability → Usability → Sentiment → Response Time → Feeling → Reaction The future of design relies on fast research and easy access to audiences. #productdesign #productdiscovery #userresearch #uxresearch

Traditional KPIs like budget and schedule adherence are a given. To truly drive program success, we need to dig deeper. Here are 5 KPIs that can revolutionize how you measure and manage your programs: Time-to-Value: How quickly are you delivering tangible benefits? This KPI shifts focus from mere task completion to actual value creation. Try measuring the time from project initiation to the first realized benefit. Decision Velocity: In our fast-paced world, slow decisions can kill programs. Track the average time taken to make critical decisions. Aim to reduce this time while maintaining decision quality. Risk Response Time: Risks are inevitable, but slow responses are not. Monitor how quickly your team identifies and addresses risks. Shorter response times can prevent risks from becoming major roadblocks. Continuous Improvement Rate: Great programs don't stay static. Track how often your team implements process improvements. This KPI fosters a culture of innovation and adaptability. Change Absorption Rate: Change is constant in program management. Measure how quickly and effectively your team adapts to changes in direction or scope. High change absorption rates indicate a resilient, agile program. The goal isn't to track every possible metric. Choose the KPIs that align best with your program's objectives and organizational culture. Join the conversation in the comments. Which KPIs do you use to measure your programs? #ProgramManagement #KPIs #ContinuousImprovement #Leadership #ProjectManagement

How do you include metrics in your case study? Especially if it’s not a real-world case study. Here are some ideas. 👇 1. Task Success Rate How often did the user complete a specific task (that you indicated) using your prototype? This gauges the usability of your design. For example, if you had 5 users try this task and 3 of them completed the task, you had a 60% Task Success Rate. (You really want it to be higher!). But maybe you go back and re-iterate your design based on user feedback and now you find you get a 90% task success rate. That’s worth noting in your case study, including the results of both tests so hiring managers know you improved the task rate because you observed user feedback and you re-iterated your design. 2. Time on Task How long does it take to complete a given task? This indicates the efficiency of your design. It’s best if you can compare the first time someone tries to complete the task (using one of your first iterations) to how long it takes after your final design. This shows improvement as you re-iterated your design based on user feedback. Another idea is to compare your time against industry standards or to how long it takes to complete the same task on a competitor’s site. 3. User Error Rate How many mistakes does a user make when completing a certain task? This determines how user-friendly your design is and helps define pain points. To use this rate, you must first define the total number of possible errors when completing the task. It may be just one (ie. enter your username) or several (enter username and password). (This is a very simplified example.) To find the user error rate: total number of errors occurred / total number of possible errors So, if 2 errors are possible in the task, and 5 people attempted the task and there were a total of 3 errors made. The user error rate is: 30% (3 / (2 x 5). The lower the number the better. 😊 4. Customer(User) Satisfaction Score This measures how happy your customer or user is about a specific product or feature and their user experience. The typical question is, “Did you find our app [or specific feature/task] do what you needed it to today?" And, offer a Yes/No response. PS. It’s best to plan for these ‘tests’ as you start the project. However, hindsight is always better than foresight. If you realize after the fact (which happens a lot with beginning UX/UI’ers), you won’t be able to show how these rates improved throughout your design process, but you can share the end results. And, you can potentially compare that against competitor results or industry standards. PSS. Share these metrics on your resume, too. Recruiters and hiring managers like to see impact. 😊 What other metrics do you suggest for showing impact in your case studies? #uxdesign #metrics #results #casestudies #designportfolios