Objective efficiency analysis across real user flows

In a recent controlled study of active PiePay users, conducted over a 90-day period, we tracked time savings across all stages of payout activity — from income monitoring to split execution and recordkeeping. Participants represented a diverse mix of creative studios, influencer agencies, freelance collectives, and remote operator-led teams.

Across this sample, 92% of users saved six or more hours per month compared to their previous manual payout workflows. This was not self-reported — it was measured via time-to-task benchmarks across recurring payout operations.

Methodology

Each trial group participant provided:

• A sample of prior month payout workflows (pre-PiePay)
• Time audits of weekly or monthly payment runs
• Access to PiePay-generated transaction logs during the test window

We measured improvements in the following categories:

• Task time reduction (how long it took to run a full payout cycle)
• Number of user actions eliminated (clicks, approvals, logins, etc.)
• Frequency of error corrections (payment reversals, double-checks, and communication threads)

The results showed:

• An average 6.4 hours saved per user, per month
• 3.1 fewer manual interventions per payout cycle
• 100% of test groups completed at least one full cycle with zero admin involvement

Efficiency Breakdown