Explore Problems

A Bank of America customer was locked out after a password reset triggered a 2FA code requirement, but the code never arrived across three attempts and 48 minutes on hold; the only offered resolution was an in-person branch visit with photo ID, which the customer could not do due to disability and lack of transportation. The account-recovery flow had no accessible fallback for someone who cannot reach a branch.

A driver whose parked vehicle was hit by a GEICO policyholder has waited four months for repairs, with the insurer indicating the process could take up to three years. Being a third-party claimant rather than the insurer's own policyholder leaves the driver with little leverage or clear timeline for resolution. This reflects a structural pattern where non-policyholder claimants face far slower, less transparent handling than the insurer's own customers.

A homeowner was contacted by a representative claiming to be from 'Home Depot Home Services' offering a free water test and a $100 gift card, but the rep was actually from an unaffiliated contractor (Aquion) using the retailer's name to gain trust and in-home access. Home Depot support had no record of the offer and warned it resembled a scam, despite the contractor apparently operating with the retailer's tacit knowledge.

A buyer of a recently purchased Carvana vehicle discovered a known OnStar module recall causing repeated battery drain and no-start failures, with no estimated repair timeline and no loaner vehicle offered. This leaves buyers of recently-sold vehicles without reliable transportation despite a documented manufacturer defect.

A renter faced an unstaffed pickup location requiring repeated paid rideshare trips, discovered reserved equipment was missing and the truck had already been re-rented, then experienced a dangerous highway breakdown with the check engine light on while traveling with family at night. Management dismissed the complaint afterward, reflecting failures spanning booking fulfillment, fleet maintenance, and post-incident support.

A customer's truck and trailer rental reservation changed pickup and dropoff locations four times within 12 hours, forcing repeated trips across town, with the same customer reporting an identical pattern in a prior rental months earlier. This points to a recurring reservation-system reliability issue at the rental company.

A storage container customer facing a moving-related pickup backlog says the company kept billing monthly fees while pickup was delayed, with support wait times of 45 minutes and slow responses over chat. This reflects a mismatch between service delivery reliability and continued billing during known service failures.

A gig delivery shopper describes earning under minimum wage after gas and expenses on low-paying batches, unsafe delivery conditions, and a belief that the platform's algorithm assigns worse batches to shoppers who speak up about pay or treatment. This reflects a broader structural concern about gig-platform compensation transparency and algorithmic management.

A customer was told in writing that a scheduling change would not affect their price, then was charged extra and had a promised refund reversed without explanation. Escalation to a dedicated review team produced no timely follow-up.

A customer whose phone was fully paid off found it still not unlocked as promised, and separately endured over a month of degraded service without any compensation offered. Escalation attempts through both standard support and an executive complaints channel went unanswered, leaving the customer without resolution.

A Canva user was debited for a charge they say they never authorized and could not get a clear explanation, prompting frustration and an intent to abandon the platform.

A U-Haul customer locked out of their vehicle was charged a non-cancelable $200 locksmith fee, then watched the promised arrival time swing unpredictably from 50 minutes down to 2 minutes and back up over a 2+ hour wait, with cancellation itself costing another $100-200. The dispatch and pricing model leaves stranded customers financially and logistically trapped with no reliable information or exit option.

A customer who traded in a vehicle through an online car marketplace received a replacement with an undisclosed mechanical defect, then faced repeated delivery delays and poor case-handling communication during the exchange. This reflects a broader quality-assurance and logistics reliability gap in remote used-vehicle purchasing.

A customer who was explicitly promised a specific total bill and a waived activation fee by a sales agent canceled service within the guaranteed risk-free trial period, only to be billed more than double the promised amount with no verifiable record of the original promise beyond the customer's own account. Escalation to retention and management did not resolve the discrepancy.

A customer who traded in a phone and has proof-of-delivery documentation still cannot get the promised bill credit applied months later, despite four separate customer service calls yielding inconsistent answers. This points to a gap in how trade-in shipments are reconciled against billing credits internally.

A customer whose accident claim was fully resolved by the at-fault party's insurer found that a corresponding claim at their own insurer stayed open in their account despite being told multiple times it was closed. Internal miscommunication between agents and the claims department left no reliable way to verify or force claim closure.

A merchant whose Shopify store went down spent hours trying to diagnose the outage without adequate support response, despite expecting a premium platform to provide faster incident resolution during revenue-impacting downtime.

A customer promised a monthly trade-in credit for three years found the credit stopped after only twelve months, even after a prior BBB complaint about billing had already been marked resolved, indicating no reliable system tracks long-running promotional credit commitments.

AI chatbots only respond within an active conversation, leaving no simple way for someone to be told later, asynchronously, when a plain-English statement about the world becomes true (a product back in stock, a weather condition, etc). The builder's own launch stands as evidence a real gap exists between conversational AI and ongoing condition monitoring.

Users who move between multiple AI tools for coding, writing, and planning lose all prior context — decisions, goals, preferences, and project understanding — each time they switch, since chat history and reasoning stay locked inside each individual platform. This forces users to manually re-explain project context whenever usage limits or capability gaps push them toward a different LLM.