Explore Problems

Bank of America forces customers to wait on hold for fraud and security issues with no callback or queue position system. In fraud cases where time is critical, multi-hour hold times allow scammers to continue taking funds while victims wait. The absence of a callback option during urgent security incidents is a life-affecting operational failure.

FHA mortgage servicers design trial modification plans that increase rather than reduce monthly obligations, pushing borrowers deeper into delinquency, then deny loss mitigation citing the failed trial plan — creating a structural trap that leads to preventable foreclosures.

Banks issue specific digital disclosures promising check availability dates, then unilaterally rescind access after customers have relied on those commitments for payments. This bait-and-switch leaves accounts overdrawn and causes cascading financial failures. Consumers have no recourse except regulatory complaints.

Customers of large retail banks experience persistent login failures and reduced in-branch services, creating a gap in basic account access. Fraud concerns compound the frustration with digital systems that are unreliable. The combination of poor digital and physical service creates a trust deficit.

Users complete their design only to discover at download that full-resolution export requires a paid subscription — a deliberate UX dark pattern that wastes user time and destroys trust. High intensity complaint with strong willingness-to-pay signal for transparent alternatives.

AI coding assistants like Cursor and Claude routinely modify files outside the intended scope — touching unrelated modules, drifting from the original structure, or introducing changes far from the target area. Developers have no enforcement mechanism to constrain AI edits to specific files or directories without abandoning the tool entirely. This loss of control is a structural problem that grows more acute as AI code generation becomes standard in professional workflows.

People lose attention at predictable moments - existing blockers miss location and time-based contextual triggers