The challenge
I tackled the challenge of addressing users' need for specific, tailored metrics to measure success. The platform initially offered predefined columns, but adding niche metrics individually was unscalable as it overwhelmed the interface and required significant R&D effort for each addition.
The solution
User research showed that users frequently exported reports and applied custom formulas in tools like Google Sheets to derive their desired data, indicating a gap in the platform’s flexibility.
To solve this, we developed a custom formula editor, allowing users to create their own columns by writing JavaScript code using available metrics as variables. This solution was technically challenging but highly effective, enabling users to generate bespoke metrics tailored to their unique needs.
Results
The results were remarkable, producing innovative outcomes we hadn’t anticipated. Internally, the editor helped us identify new success signals. For instance, we discovered that excluding likes from the standard engagement score (which typically includes comments and likes) yielded significantly better results for predicting talent success.
The feature also transformed our sales process. Instead of promising future metric additions, the sales team could demonstrate custom columns during calls, delivering immediate value to prospects. This capability enhanced user satisfaction and positioned the platform as a dynamic, all-in-one solution.
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Phone Number
Current Residence
Lisbon, Portugal