In a world where talent is your biggest competitive advantage, knowing who to hire is harder than ever. Resumes are noisy. LinkedIn profiles are incomplete. Gut instinct is biased. Recruiters and hiring managers are overwhelmed with options, but starved for signal.
At TechTree, we believe the future of talent evaluation lies in better data, not just more of it. That’s why we’ve built TechTree Scores, our proprietary system for evaluating the overall strength of a candidate’s career path. It’s the first in a new wave of intelligent scoring systems designed to make hiring smarter, fairer, and faster.
TechTree Scores don’t rank people. They don’t say who’s good or bad. Instead, they surface a clear, consistent signal about a candidate’s professional journey. It’s a career trajectory score, grounded in data, designed to support human decision-making.
We calculate this score using multiple weighted signals:
Each signal contributes to a broader picture: not just where someone is, but how they’ve moved through their career and what that might predict about their future.
A core belief at TechTree is that AI should not be the gatekeeper. We don’t believe in black-box decisions or automating human judgment. Instead, our approach is about providing clear, explainable signals to help humans make better decisions faster and more consistently.
TechTree Scores are a tool. They augment human insight, not replace it. They help reduce the noise in hiring pipelines by highlighting the candidates whose career trajectories show strength, momentum, or potential.
This distinction matters. In a world increasingly driven by automation, we’re taking a human-first approach to AI: transparent, supportive, and accountable.
Traditional hiring is rife with bias, sometimes conscious, often not. Education and experience are judged inconsistently. Career gaps are penalised without context. Opportunities often go to the best networked, not the best prepared.
By quantifying and standardising career data, TechTree Scores create a more level playing field. We’re making it possible to compare candidates on the merits of how they’ve moved through their careers, not just the names on their CV.
AI isn’t inherently fair. But used thoughtfully, it can be a powerful force for meritocracy. When you rely on structured signals over subjective impressions, you can uncover talent that might otherwise be overlooked.
The TechTree Score is just the first signal in a broader framework. We’re building a matrix of scoring systems that will adapt to different sectors, roles, and contexts. Whether you’re hiring a senior engineer, a product leader, or a commercial operator, we’re developing customised models to reflect what great looks like in each case.
Eventually, hiring managers and founders will be able to tailor scoring systems to their company’s unique needs, values, and success patterns. Imagine plugging in your top performers and generating a model that helps find more people like them, without sacrificing diversity, potential, or creativity.
Most hiring tools take a snapshot of where someone is today. But we believe in tracking career trajectory over time. People grow. They pivot. They recover from failure. They reinvent themselves.
TechTree Scores are designed to evolve. As we collect more data, we’ll refine how we read patterns in promotions, sector shifts, startup exposure, and re-skilling. We’re not just capturing a resume, we’re mapping a career story, one that unfolds over years.
TechTree Scores won’t tell you who to hire. But they’ll show you who deserves a closer look, and who might be your next great hire, even if they don’t follow the traditional path.
We’re entering a new era of hiring. One where data and intuition work together. One where you can move faster without compromising on quality. One where AI powers better decisions, not just faster ones.
TechTree Scores are the first step in that journey. And we’re just getting started.