Explore Problems

A Chase customer describes being passed between vaguely-named internal teams like escalation, research, and the Executive Office without resolution, eventually filing formal complaints with the OCC and CFPB. The account illustrates how large banks internal escalation structures can function as a maze that absorbs complaints without producing outcomes.

A customer whose kitchen cabinets were flooded and damaged during a paid appliance installation faced a third-party claims administrator that disputed the water damage, sent a fraud investigator, and offered a settlement far below the actual repair cost. The dispute illustrates how outsourcing installation-damage claims to third-party adjusters can leave customers without adequate recourse.

A T-Mobile customer was charged $192 for international calls that were actually made over WiFi via WhatsApp or under an active (and later cancelled) international plan, and support insisted the charges were valid despite the customer's evidence. Long hold times and a dismissive resolution process ultimately drove the customer to switch carriers.

A T-Mobile customer reports being repeatedly overcharged each month without consent, with promises from support to fix the charge next cycle only for the overcharge to recur. Frontline support is described as unable or unwilling to permanently correct the billing error.

Engineers using top-tier LLMs for mechanical design brainstorming find the models cannot reason accurately about 3D spatial relationships, clamping mechanisms, or manufacturability, producing plausible-sounding but physically implausible suggestions. This reveals a consistent gap between language-based reasoning and the spatial/physical reasoning needed for real hardware engineering work, regardless of which model is used.

Job seekers waste time applying to postings that are stale, unverified, or from employers who never respond, while employers get flooded with unqualified applicants. Existing job boards profit from application volume rather than match quality, leaving neither side accountable for wasted effort.

Many designs for gating an AI agent spending rely on separately checking a budget limit and then executing the spend, creating a time-of-check-to-time-of-use gap where concurrent or rapid actions can bypass the intended limit. This is a structural security and reliability flaw in how agentic AI systems that handle money or resource budgets are commonly architected.

During a post-forbearance loan modification evaluation, a servicer instructed the borrower to stop payments, then reported them delinquent for three consecutive months. This mirrors a broader pattern of mortgage servicers mishandling loss-mitigation-period credit reporting in violation of federal servicing rules.

AT&T and other carriers dispute device trade-in returns that customers can confirm were delivered, then impose large charges despite RMA confirmation. The burden of proof falls entirely on the consumer with no neutral dispute mechanism within the carrier's process. This recurring pattern costs customers hundreds of dollars and reveals systemic accountability gaps in telecom trade-in programs.

Non-technical administrators find Zendesk's customization and configuration layer confusing and overly complicated. This creates a dependency on technical staff or external consultants to unlock platform functionality. The complexity gap limits adoption and value realization for smaller teams.

A customer's dishwasher installation was completed incorrectly, with the water line placed in front of the electrical line instead of behind it, preventing a cabinet drawer from closing; the installers have since refused to return and correct the error. The dispute has dragged on for over a month with no resolution path offered by the retailer. This illustrates a broader gap in accountability and follow-up enforcement for home-installation services.

A customer confirmed with an AT&T store that no account changes were needed before a cruise, never entered international waters, and used only the ship's wifi, yet was billed $200 in unexplained charges including one for a single picture sent, plus an unrequested $5 plan increase per line. Repeated support calls resulted in transfers between departments with no explanation or resolution, illustrating opaque roaming/billing charges applied without clear justification.

Patients regularly receive blood test lab reports full of clinical jargon and reference ranges they cannot interpret on their own, leaving them uncertain which results matter or what to discuss with their doctor. Lab Decoder addresses this by translating uploaded lab reports into plain-English explanations with red/yellow/green flags and a printable doctor-ready summary.

A car owner's warranty claim for a failed transmission stalled for weeks because no inspector arrived to approve the repair, despite repeated calls and an explicit promise of a next-week visit. The dealer offered no remote or photo-based inspection alternative to speed resolution, leaving the customer without a vehicle. This reflects a systemic gap in auto warranty claims where inspection scheduling has no transparency or escalation path.

A PODS customer had their storage container delivery unilaterally rescheduled four days later without consent, conflicting with an already-booked moving company. Despite contacting support through phone, chat, and text and repeatedly requesting a supervisor, no follow-up ever occurred, leaving the customer to absorb extra rental and moving costs.

A borrower whose auto lease ended with a confirmed zero balance later found a late tax bill and dealer fees reported as a collections mark on their credit report, because the lender mailed the notices to an outdated address despite having current contact information on file. The lender phone system also blocks direct access to a representative, leaving automated menus as the only path to resolution.

A customer forced to switch to AT&T due to rural coverage gaps found the online activation portal non-functional, then spent 3.5 hours across three separate calls, including a rep with a broken headset, before finally getting the phone activated. The failure of the self-service activation flow pushes otherwise-avoidable volume onto phone support.

A retiring Verizon customer trying to cancel a Fios internet plan found the chat assistant kept assuming he wanted to discuss a linked business account and, at times, simply stopped responding. Multiple digital-assistant attempts failed before he eventually reached a human, illustrating how poorly account-linking and AI chat routing handle account-type ambiguity.

A U-Haul reservation was booked incorrectly by staff, the promised truck was not available at the assigned location, the eventual truck was damaged with restricted ability to document it, and a mystery lock required a return trip to a different location to resolve. The compounding errors across locations and staff left the customer without a usable rental and no clear path to fix it.

A Chase customer reports the bank's phone support uses an AI agent that claims not to be AI and hangs up, with in-person staff also described as dismissive. This reflects a growing pattern of banks deploying opaque, unhelpful AI customer-service agents that erode trust.