Explore Problems

The canonical pool of system design interview questions circulating in prep resources has not kept pace with what major tech companies are actually asking in 2024-2025. Candidates who prepare from top-50 lists encounter completely different questions in real interviews — domain-specific, time-sensitive problems like real-time fraud detection or collaborative sync. The mismatch wastes preparation time and creates false confidence.

AT&T customers face fraudulent billing disputes and unreturned phone credit investigations that consume 25 or more hours of their time with no resolution. The carrier's negligent handling of returns and billing errors crosses into harassment territory with no accountability mechanism. Consumers need better tools to document, escalate, and resolve telecom disputes without losing weeks of their lives.

Small loan providers charge undisclosed daily interest and include balloon payment terms not mentioned at origination, resulting in borrowers owing multiples of the principal amount. The information asymmetry is deliberate and systematic. Loan contract analysis tools and predatory lending pattern detection would help consumers identify these traps before signing.

Long-term cable subscribers face compounding annual price increases on individual fee line items — broadcast TV fees more than doubling over five years — with no proportional service improvement. Customers in areas with limited ISP competition have no leverage to resist these increases and are effectively captive. When competition finally arrives, customers switching away consistently find better pricing elsewhere.

Consumers discover debt collection entries on their credit reports from insurance companies for accounts they have no record of establishing. These collections typically arise from cancelled policies with residual balances that insurers send to collections without direct consumer notification. The lack of pre-collection communication leaves consumers with no opportunity to dispute or resolve the underlying balance before credit damage occurs.

A customers bank-scheduled payments to AT&T were confirmed as sent but not recorded as received by the telecom, triggering repeated late-payment notices despite proof of payment. Resolving the discrepancy required repeated escalation to support, illustrating a reconciliation gap between bank bill-pay systems and billers payment processing.

A borrower with a very high APR loan requested a settlement offer from the lender and was refused, leaving them struggling to keep up with payments. Reflects a common gap: borrowers in distress have limited recourse when a lender will not negotiate.

Automated bots drain inventory seconds after online drops at Walmart, Target, and Pokémon Center, leaving human collectors locked out of MSRP prices. Manual refresh strategies fail against millisecond-speed bots. Collectors pay secondary-market premiums or miss drops entirely, creating demand for real-time alert and precision-timing tools.

FHA mortgage servicers reject forbearance applications from borrowers who are still current but facing unemployment, citing the up-to-date account status as disqualifying. This contradicts FHA guidelines requiring evaluation of imminent default scenarios. Borrowers are denied the ability to proactively avoid delinquency, pushing them toward the very default servicers claim to prevent.

Sales teams find that critical HubSpot Sales Hub features are paywalled behind expensive tiers, forcing costly upgrades for functionality they expected at lower price points. Advanced reporting is particularly unintuitive even when accessible. This creates a recurring evaluation problem as teams grow into the product and face surprise cost walls.

Contractors are sold leads under false claims of exclusivity, only to discover leads are distributed to multiple competitors. Pricing representations at sign-up do not match actual billing amounts. Cancellation triggers additional unexpected charges, with no recourse against documented misrepresentations.

Uprova Credit and similar tribal lenders offer loans with fees and interest rates that make repayment mathematically impossible for many borrowers. Terms are buried or misrepresented at origination. State rate cap circumvention through tribal structures leaves consumers without regulatory protection.

PODS failed to schedule a delivery window despite the customer providing all required dates at booking. No proactive notification was sent when scheduling did not happen, forcing the customer to discover the gap by manually checking their account. The missed delivery caused a move-in date failure with significant downstream consequences.

Consumer deposited funds to a Bank of America prepaid card expecting a credit limit increase, but funds disappeared with no resolution after months. Unresolved balance appearing on credit report causes ongoing harm.

When Wells Fargo transitioned a credit card account to another servicer, the payment portal stopped working and began showing account creation errors. Customer service routes between departments that each disconnect the call, making it impossible to pay or close the balance. Customers are left with an outstanding balance and no functional payment mechanism.

Collection agencies pursue and credit-report utility debts for services the consumer never established a relationship with — often due to mistaken identity, fraud, or data errors at the original utility provider. Written disputes are ignored and the invalid debt continues to be reported, leaving consumers with no effective path to correction short of litigation.

PODS customers who schedule deliveries and pickups over the phone discover their bookings were never entered into the system, causing critical move-day failures. The disconnect between phone agents and the scheduling backend creates false confirmation loops that leave customers stranded. This systemic data entry failure makes PODS operationally unreliable for time-sensitive moves.

Developers pipe raw HTML and unstructured scraped content directly into LLM API calls, inflating costs and degrading output quality. No standard preprocessing layer exists between web scraping and LLM ingestion in most pipelines.

Developers using AI-powered app builders encounter setup processes that fail or produce broken scaffolding, forcing full rebuilds rather than incremental fixes. The "launch in 10 minutes" promises common in AI builder marketing are routinely broken by brittle generation pipelines. With 2 source mentions this is a cross-validated pain point signaling demand for more reliable, deterministic AI-assisted app bootstrapping.

Real estate cold callers report spending the majority of their time on the wrong prospects due to poor lead quality and no smart routing. There is no reliable system to pre-qualify or prioritize which leads are worth calling before dialing.