Reducing Product UI Redesign Time by 50%
A major software company used software usage analytics to dramatically reduce their product redesign time. Over 225,000 manufactures rely on the software, in industries ranging from automobile manufacturing to consumer goods to medicine. As a pioneer in the industry, the company knew that it needed detailed product usage data to accelerate development, improve focus on the customer, and innovate more effectively. After many failed attempts at DIY analytics (painstakingly tracking interesting statistics for its 1,200 functions and collecting them in a scary excel sheet), they looked into other options.
After implementing a major software usage analytics tool provider on a production product, the company was able to track adoption rates, identifying different usage patterns for over 15 languages that it supports. With the same product interface for 10 years, the company embarked on a daunting task: updating the interface without losing quality. With strong insight into the needs of their 225,000 users, and prioritizing features with data, the entire redesign took half as long as it would have without software usage analytics.
Lowering the Cost of QA
Over 100,000 professionals and 5,000 organizations rely on a major software vendor to increase their ROI from fonts, digital assets, and images. The vendor offers a full suite of tools for large creative organizations down to freelance creative professionals. The product team wanted to bring the voice of the customer into its Agile development process, but without software usage analytics, it was impossible to understand true customer needs.
The software supports the manipulation of many file types, which made it difficult to pinpoint which to support. Previously relying on surveys, the company figured out that when they sent out discovery surveys, it was often the sysadmins who answered, not the creative users. The gap between IT’s perception and the end-users needs was extensive.
After implementing a software usage analytics solution, the company received up-to-date, correct product usage data from actual users. They were able to focus R&D investment, and direct QA resources effectively, translating to a savings of $10,000-$20,000 per release in QA time alone.
Building Innovative Features That Customers Are Technologically Ready For
A BIM software company had been relying on focus groups, sales meetings, in-person conversations with customers, and competitive intelligence to plan features for its latest product release. However, these methods tended to deliver anecdotal rather than systematic data, and couldn’t provide fast answers for timely decision-making. Product teams wanted quick input from a broad cross-section of customers who already relied on their promising new feature.
After implementing a Software Usage Analytics Tool, product teams could identify power users of the new feature and directly ask them for feature feedback, send event-based messages, ask users to vote on possible improvements and receive immediate answers – while users were in the product. These answers were directly linked to data containing hardware and software environments, which identified differences in viewpoints amongst different kinds of customers. As a result, the company now experiences a significantly tighter alignment between R&D investment and product value to actual customers.