Turning Customer Signals into Content Strategy
Disciplines: Content strategy · Quant & qual data analysis · Voice of the customer · Content operations
Every year after the big refresh, I lead the in-season work of making TurboTax’s help content even better. Tax situations change, products ship, and the same article that performed well last year can quietly start failing customers this year. I ask myself, Where are we letting customers down and what would genuinely help them? And customers will definitely tell you when you get it wrong.
The answer requires both data and empathy. I pair the quantitative KPIs (page views, contact rates, etc.) with the human signal (customer comments, top search terms) to decide what content to fix, build, consolidate, or kill. I close the loop between what customers tell us and what we put in front of them.
My role
I own in-season content optimization—setting the strategy for what we improve and then directing a team to execute it. Across three seasons I’ve led the weekly rhythm of reviewing performance, diagnosing what the data is saying, prioritizing the highest-impact changes, and coaching writers to make them.
My approach
1. I insist on using all types of available data. I lead a weekly review that pairs quantitative signals with the qualitative truth (customer feedback, questions people ask, customer interviews). I push the team past one-article-at-a-time edits to spot themes. I identify clusters of related content failing for the same underlying reason.
2. I believe in addition by subtraction. In high-anxiety topic areas where duplicative, overlapping articles were burying the simple answers, I led audits to consolidate and archive content. This means I get the right content in front of customers faster instead of adding more noise.
3. I kept optimizing when the data went dark. One season, our dashboards became unreliable for weeks during peak weeks. Rather than pause, I redesigned the process. I declared alternative inputs and priorities, ran team brainstorming sessions to surface customer pain we knew about from the front lines, and drove an editorial calendar so improvements continued on a deliberate cadence. It resulted in an increased year-over-year helpfulness rate.
My impact
- A repeatable optimization practice that’s run for three seasons and doesn’t break when the tooling does.
- Measurable customer wins—rising year-over-year helpfulness while traffic increased, and escalation rates held steady rather than climbing.
- A leaner, clearer library—duplicative content archived to remove overwhelm and fatigue for customers.
- A team that thinks in themes, not tickets—writers coached to diagnose root causes across content, not just edit one article at a time.
