To explore post-transfer concerns, I analysed publicly available customer complaints.
I selected 50 money-transfer complaints posted on Şikâyetvar, a large Turkish public complaint platform, between November 2025 and November 2026, covering 19 banks and payment apps. I coded each one by journey stage (before, during or after sending) and assigned a single primary theme, so the categories are mutually exclusive.
31 after sending14 during5
31 after sending · 14 during · 5 before
Limitations. This is a purposive sample of people who chose to complain publicly, not a representative sample of mobile banking users. The findings highlight recurring pain points and were used to identify design opportunities, not to estimate how often these problems occur. The coding was done by one person, with AI assistance.
AI-simulated conversations. I also used five AI-simulated persona conversations to explore possible concerns and generate hypotheses. They were not treated as primary research or as evidence of real user behaviour. Ideas that came only from these simulations, such as amount typos, are marked as hypotheses to be tested.