How ProveIt Transformed Technical Assessments to Improve Hiring Decisions

The frustration behind ProveIt came from repeatedly seeing talented students and early-career professionals struggle to get opportunities, not because they lacked ability, but because traditional hiring methods did not give them a strong way to prove what they could actually do. Many candidates had worked on projects, developed technical skills, and gained practical experience, yet employers still had to make early hiring decisions largely through résumés, credentials, and short interviews. At the same time, employers faced the opposite problem, it was difficult to know whether someone who looked strong on paper could actually perform the work required for the role. That disconnect became the starting point for ProveIt. We began asking ourselves, why should candidates only describe their skills when they could demonstrate them directly? ProveIt was created around that idea. We are building a technical hiring platform where candidates complete practical, role-relevant assessments that reflect real work, giving employers clearer evidence of ability while giving candidates a fairer opportunity to prove their skills beyond a résumé.

One growth tactic that worked well for us was direct customer discovery and relationship-driven outreach. Instead of immediately trying to sell ProveIt, we approached recruiters, employers, and industry professionals to understand their technical hiring challenges. These conversations helped us validate the problem, refine our product, build relationships with potential beta customers, and grow our network. Re-engaging people we had previously interviewed has been especially valuable because they already understand what we are building and why. One tactic that completely flopped was cold outreach that focused too quickly on selling the product or asking companies to participate in our beta. Even when companies recognized the hiring problem, asking for an immediate commitment created friction and resulted in very low conversion. That taught us to change our approach, ask for advice before asking for a commitment. We now treat outreach as an ongoing conversation, using customer discovery to build trust first and introduce the beta naturally afterward.

The biggest concern we hear from potential customers is how easily ProveIt can fit into their existing hiring process. Recruiters and employers may recognize the limitations of traditional technical screening, but adopting a new platform still requires time, onboarding, and changes to an established workflow. If the platform creates additional work for recruiters, adoption becomes much harder. We have handled this by making ease of adoption a core focus of our beta. Rather than assuming we know the ideal workflow, we are actively involving potential customers in the process and asking what would make onboarding easier for their teams. We are also developing a structured onboarding experience and tracking how quickly recruiters can begin using ProveIt independently without needing support from us. Our goal is not simply to build better technical assessments. We want ProveIt to integrate naturally into how companies already hire, reducing friction for recruiters while providing stronger evidence of a candidate’s actual technical ability.

One thing people often get wrong about the technical hiring market is assuming that the biggest problem is simply finding more candidates. In reality, companies already receive large numbers of applications. The much harder problem is determining which candidates can actually perform the work required for the role. Traditional screening still relies heavily on résumés, credentials, previous job titles, and standardized interviews. While these signals provide useful context, they do not always demonstrate how someone will perform when solving realistic technical problems. This particularly affects students and early-career professionals who may have strong practical skills but lack years of professional experience or recognizable credentials. We believe the market does not necessarily need more applicants; it needs better evidence of ability. That is why ProveIt focuses on realistic, role-relevant technical assessments. Instead of asking employers to infer someone’s capabilities from a résumé, we want candidates to demonstrate their skills directly, giving recruiters stronger evidence to make more informed hiring decisions.

Over the next 6–12 months, our focus is turning ProveIt from a validated product into a platform companies actively use. We’re launching our beta, onboarding employers, and measuring how effectively our assessments improve technical screening. From there, we’ll iterate based on recruiter and candidate feedback, strengthen our assessment library, and refine our pricing model. Our goal is to convert beta users into paying customers, demonstrate measurable hiring outcomes, build recurring revenue, and establish the traction needed to scale ProveIt into a broader technical hiring solution.

We have validated ProveIt with 53 potential customers through customer discovery and early market validation.

Before building ProveIt, we were largely starting from scratch as young entrepreneurs, but we were experiencing the problem firsthand. As students and early-career professionals ourselves, we understood how difficult it can be to demonstrate real technical ability when hiring decisions rely heavily on résumés, credentials, and previous experience. We did not come into ProveIt as established technical-hiring experts or experienced founders. Instead, we focused on learning directly from the market. We conducted customer discovery with recruiters, employers, candidates, and industry professionals to understand how technical hiring actually works and where the biggest gaps exist. That process became one of our strengths. Rather than building around assumptions from previous industry experience, we have continuously tested our ideas with the people experiencing the problem, incorporated their feedback, and surrounded ourselves with advisors who bring expertise in areas where our team is still learning.

One of our biggest mistakes was trying to do too many things at once. Early on, we spent time thinking about fundraising, additional features, partnerships, marketing, and scaling before we had fully proven that companies would consistently use the core product. This sometimes divided our attention from what mattered most, building a strong product and getting it into customers’ hands. We learned that an early-stage startup needs ruthless prioritization. Instead of trying to make ProveIt perfect, we now focus on launching our MVP, onboarding beta customers, measuring real usage, and learning from their behavior. We’ve also become more comfortable leaving features out of the beta when they aren’t essential. Our biggest lesson has been simple, traction and customer learning should determine what we build next, not our assumptions about what the product eventually needs to become.