Explore Problems

Every Salesforce customization feels like it costs a premium. Even minor modifications require significant financial investment.

Monthly marketing reporting requires manually exporting data from Search Console, Analytics, and pasting into spreadsheets. The process is tedious enough that marketers dread the end of every month.

Users of a major CRM Sales Hub find it unintuitive to make simple updates to company or deal records, to the point of using an external AI assistant just to complete routine field edits. This points to a structural UX gap in core CRM data-entry workflows.

Credit reporting agencies improperly use consumer credit data and record timely payments as late, directly harming credit scores. Disputes submitted through official channels are met with superficial investigations that leave the inaccurate entries intact. The violations compound because both the furnishing lender and the bureau can each claim the other is responsible.

Small and micro businesses lose time and money dealing with unreliable customers who cancel meetups, ghost on orders, and require excessive hand-holding. Lack of prepayment systems and automated scheduling for small sellers compounds the problem.

Analysts doing exploratory data work often have to jump back and forth between a coding notebook for analysis and a separate dedicated tool for plotting and charting, breaking flow and slowing down iterative data exploration.

A bank responds to a formal FCRA dispute with a generic reply that fails to address the specific documentation requested, such as a signed agreement, payment history, or proof of investigation, and continues reporting the account as accurate. The response pattern suggests automated processing rather than the individualized review the law requires, causing real harm to the consumer's credit access.

Consumers dispute debts by requesting a signed agreement proving the collector's authority, only to receive no documentation. Collection activity continues regardless, including credit reporting threats. The burden of proof falls entirely on the consumer to challenge unverified claims.

A consumer who voluntarily surrendered a vehicle found their credit reports inconsistently labeled the event as an involuntary repossession, with mismatched dates, deficiency amounts, and no notices ever received about the sale or resulting balance. Different credit bureaus can show conflicting versions of the same account with no unified source of truth.

A borrower's loan balance nearly doubled through variable interest and capitalization, but the servicer provides no complete accounting or the underlying modification documents explaining how payments are applied and why the principal isn't decreasing. Without that detail, borrowers cannot verify whether the servicing is accurate or challenge it.

Dating app matches frequently chat indefinitely with no real intention to meet, as there is no built-in signal to distinguish serious from casual users.

Intercom charges based on both "all users" and "logged-in users" depending on which feature is used, with no clear explanation of which definition applies. Teams are unable to predict their monthly bill, and the three-product packaging compounds the confusion. Opaque usage-based billing is a documented friction point that drives customer churn.

Existing net worth trackers require granting read access to financial accounts, a trust barrier that disqualifies them for privacy-conscious users and for asset classes that cannot be linked (precious metals, real estate, employer retirement funds). The death of Mint left a large gap with no privacy-first replacement that handles the full range of asset types. Developers building their own tools is a strong signal of unmet need across the mass-market personal finance segment.

ClickUp's breadth of features, while powerful for experienced users, overwhelms newcomers who lack a clear path to productive use. The absence of role-based or goal-driven setup flows means new users must self-navigate a complex system before delivering value. This slows team adoption and increases churn risk.

Job applicants in 2026 still deal with broken, opaque ATS (Applicant Tracking System) processes that waste their time. The friction between job seekers and automated hiring systems remains a persistent, widely-felt frustration across industries.

A cardholder made a manual payment that the issuers own app showed would zero out the upcoming autopay, but the issuer still processed the full autopay amount as well, withdrawing more than double the amount owed and overdrawing the customers checking account by nearly $20,000. Resolving which payment counts as the on-time payment and reversing the duplicate required over 9 hours of the customers effort.

Small business owners and solo operators find comprehensive project management platforms like ClickUp too complex to start using effectively, with no clear entry path for non-team use cases. The tool is architected for team collaboration at scale, creating an onboarding experience that alienates the significant segment of users who would benefit from a subset of the functionality. The complexity-to-value gap causes early churn before users discover the features that serve their needs.

When companies migrate from informal tools like Viber to Slack, communication becomes harder to track rather than easier — conversations fragment across channels, threads, and direct messages. The overhead of Slack's structure surprises teams expecting a drop-in replacement. This is a recurring migration pain point for small teams moving to enterprise tools.

Existing social and professional networking apps require active profile management and intentional browsing, missing the window when a relevant contact is physically nearby. No mainstream tool passively notifies users of proximity-based connection opportunities. This passive discovery gap is especially acute at conferences, co-working spaces, and shared venues.

Founders in the early stages struggle to determine whether slow progress reflects a fundamentally flawed thesis or simply early-stage friction before product-market fit emerges. Without clear signal frameworks, teams either abandon viable products too early or persist too long on failing ones. Tools that help founders quantify and interpret early traction signals represent a meaningful market opportunity.