Start with the subscription outcome
The work was accountable for increasing autopay enrollment and reducing cancellations at 30, 60, and 90 days. Customers needed to understand what they owed and why before we could expect either outcome to improve.
A technically accurate bill could still be difficult for a customer or representative to explain. Different channels could give different answers to the same question. Repeated contact about a charge was a signal that the explanation had failed.
Use evidence to choose the first fixes
We wrote down our beliefs about customer problems as testable claims. Two contract data scientists checked those claims against the data. Some did not survive that review.
The surviving findings informed customer segments and a heat map of customer volume against each problem. That gave the team a way to prioritize work against the customer and business outcomes. It constrained my preferences as much as anyone else's.
We measured repeat contact about the same charge within a billing cycle as a proxy for comprehension. Autopay enrollment was measured directly. Those measures served different purposes, so we kept their meanings distinct.
Make one explanation work across channels
The billing team ran four workstreams together: simplifying charging rules where possible, correcting charge timing, redesigning the digital bill, and making the explanation consistent across channels. Finance and tax still needed much of the underlying complexity.
Care, retail, accounting, and enterprise systems contributed engineers and analysts to the work. Frontline representatives could read the customer's own digital bill. The speech IVR drew from the same explanation.
I led the product team and secured partner adoption around shared priorities. Each contributing organization could use the shared scoreboard to explain its results to its own leadership. That helped the work remain useful to the teams supplying the people.
Build benefit discovery on the trusted bill
Once customers could trust the bill, we added a benefit statement. It showed the benefits they already had, whether they had activated them, and how much they had used.
For example, a customer could see that Netflix on Us had never been activated. T-Mobile Tuesdays could show redemption activity or explain how to install the app. Repeated visits to the digital bill became an opportunity to make membership value visible.
The order mattered. Benefit discovery followed the work to make the bill understandable.
What changed
The broader Billing & Benefits program reduced billing-related care calls by 43%. It delivered 204% higher year-over-year one-time payment completion, 76% higher recurring payment setup, and 23% higher customer lifetime value in the first 12 months.
These are program outcomes across the work described here. They should not be attributed to a single screen or intervention. Payment completion is not a conversion-rate measure.
The lesson I carry forward is to make the customer's explanation a shared product responsibility. A new digital surface has limited value when the charging rules, timing, and frontline explanation still disagree.