Explore Problems

AT&T uses automated robocalls for sales follow-up and agents provide contradictory service availability information. Technical buyers are steered toward inadequate speed tiers even after clearly stating their requirements.

Users get zero results when they misspell search terms. No spell correction or fuzzy matching to recover from common typos.

Slack broke the file/image attachment flow: the plus button no longer opens a file picker and instead collapses the dialog, leaving users unable to attach files.

A 26-year customer with a strong credit history and an underused $90,000 credit line on an existing account was approved for a business card but denied a separate consumer card, with no explanation offered for the inconsistent underwriting outcome. This leaves loyal customers unable to understand what specifically drove the denial.

Developers building multi-step AI-powered backends waste significant engineering time writing regex and error handlers because LLMs inject markdown into JSON payloads or hallucinate structured outputs.

Mobile developers abandon automated testing because tools like Appium and Espresso rely on fragile element selectors that break whenever UI changes, making test maintenance cost exceed value.

An AT&T customer reports the company reliably bills every cycle while failing to deliver the service being paid for, with no credit or bill adjustment offered for the poor experience. The complaint highlights a mismatch between service-level accountability and billing consistency at telecom providers.

Consumers are not informed of their FDCPA right to dispute debts, leaving them unaware of legal protections against collection attempts.

Funeral directors and families creating simple order-of-service booklets are often forced to pay upwards of $200 in design fees just to lay out and print their own text. This reflects a market gap for affordable, self-serve booklet formatting in a niche, emotionally sensitive category.

A customer was quoted a specific monthly increase and trade-in credit by an in-store AT&T associate, but the actual bill came in significantly higher than promised. This points to a systemic gap in verifiable, binding price quotes at the point of telecom sales.

A company failed to cancel a consumer's original account when replacing it, continuing to bill both accounts at once before referring the balance to debt collection. Reflects a structural account-cancellation and billing-sync failure.

Browser autoscroll tools require users to configure scroll speed in pixels per second, a meaningless unit that forces trial-and-error calibration. Users who read at a known WPM pace cannot easily match autoscroll speed to their natural reading rhythm. The market is small but the UX friction is clear and solvable.

Developers building AI agents need real-time social data (Twitter, LinkedIn, Reddit, YouTube) but direct scraping causes immediate account bans and official APIs are too expensive or restrictive.

A customer was charged more than the contracted rate after a rental return, disputed a mileage discrepancy with unhelpful customer service, and had no effective path to resolve the overcharge. This reflects a common friction point where rental billing disputes lack accessible verification or escalation processes.

A long-tenured customer describes being told a phone would be free under a promotion, only to later discover roughly $700 must be paid off before upgrading or switching devices. This reflects a recurring bait-and-switch pattern in phone promotion terms.

A customer experiencing constant buffering and connectivity issues found that every support call led only to being told to unplug and replug equipment, with agents insisting nothing was wrong on their end and offering no real troubleshooting path. This points to a gap in accessible, evidence-based network diagnostics for consumer ISP support.

A 12-year customer saw data speeds degrade to unusable levels in a major metro area, was told the cause was network 'congestion' rather than anything fixable, and was pushed to buy a new phone as a purported solution that didn't help. This illustrates how carriers can attribute unresolved network capacity problems to the customer rather than providing transparent root-cause diagnostics.

Founders underestimate long-term compounding returns from small UX fixes, customer conversations, and documentation compared to flashy tactics. Discussion post with no specific product problem.

Tech professionals weigh unclear trade-offs when considering lateral moves to L3 support roles for salary gains. The value and career trajectory of production support vs. DevOps is poorly understood.

Zendesk AI chat never understands issues, human agents have long waits and provide irrelevant articles. Almost always requires escalation to resolve problems.