Streamline your process with targeted feedback
Your product has many parts and processes that users interact with, from workflows to navigation and search functionality. Understanding what users think about these processes helps you identify optimization potential and make changes that enhance the overall experience.
To do this effectively, you need to target specific user groups that have a stake in the processes you want to improve. If, for example, you want to understand how managers import contacts into your software, you might want to target users with that job title who have completed this process in the last 30 days. This way, you get relevant insights from the right people.
Sprig’s in-product surveys make collecting this feedback easy. They allow you to select specific user groups to get feedback from exactly who you need. This means you won’t be overwhelmed with responses from a wide range of users that you then have to sort through.
What is a process optimization survey?
A process optimization survey gathers user feedback about specific processes within your product and business that you can improve. Responses to this type of survey help you identify where bottlenecks, navigation issues, and other pain points are impacting the user experience. Making changes based on user needs shows that you value their input. This can lead to higher increased satisfaction and reduce churn as users see you’re addressing their concerns.
Sprig’s process optimization survey template comes loaded with specific questions that give you a close look into user opinions about processes you want to evaluate. This template is one of Sprig’s in-product surveys, so you can embed it directly into your product to reach users while they’re interacting with your product. This means their experience is fresh on their minds, giving you the most accurate insights into their needs and preferences.
For an even more detailed view, Sprig Replays gives you a complete perspective of the user experience. This software tool records clips of user sessions and provides visual data on how users interact with your product. See exactly how users navigate your interface, flow through processes, and encounter any issues. Use this information to get a full picture of optimization opportunities.
The Sprig team used this template when we were eager to add AI optimizations to our product roadmap, we didn’t know if our customers actually wanted these additional AI capabilities. And every product team knows that a product with no user demand is destined for failure even before launch.
To validate investment in this AI project, we turned to our existing continuous product discovery program, which would help us quickly quantify the sentiment of our large user base while also providing in-depth insights via open-text responses to guide our product requirements.
The clear demand for more advanced AI functionality from our user base gave us the conviction we needed to move forward with this AI optimization project and build it into our 2023 product roadmap. To elevate our existing AI analysis tool, Sprig is launching a ChatGPT-powered insights layer that queries across Sprig’s entire dataset (feedback, events, attributes) for analysis and sharing.
How to use process optimization survey results
Once you've collected responses from your process optimization survey, the next step is to use this feedback to make meaningful improvements. Start by combing through your data and pulling out any common themes, recurring issues, and areas where users are experiencing difficulties. While analyzing survey data is just as important as collecting user opinions in the first place, manually sorting through survey results can be laborious and time-consuming.
You can lighten the load and expedite the process with the powerful AI and machine learning techniques of Sprig AI Analysis. This technology automatically analyzes large amounts of user data and turns it into actionable recommendations. It’s the easiest, most effective way to extract meaningful insights from survey responses and create strategies for optimizing your processes based on what your users want. This comprehensive analysis helps you make data-driven decisions that lead to targeted improvements and streamlined processes.