Verified skills are no longer optional — they’re how companies grow and adapt. But trust matters. If results feel like a black box, adoption stalls.

That’s why we’re introducing Score Appeal — a way for learners to challenge their results and for leaders to know every score is fair. By combining adaptive AI with expert human review, Score Appeal makes skills data transparent, reviewable, and defensible.

We’ve also made skill growth easier to track, so leaders can see progress over time, and expanded Sage — our AI mentor agent —  with Japanese support. Together, these updates extend both the depth and reach of skills verification.

Let’s dive in.

Score Appeal: Fairness built in

When results feel unfair, trust breaks down. Score Appeal fixes this by adding a human review layer to AI scoring.

If someone challenges a result, experts step in. Our team of psychometricians and subject matter experts check the responses and the AI’s reasoning. If an update is needed, the score changes. And every learner gets a clear explanation of why.

This process makes every score transparent, reviewable, and defensible. Leaders get clear context for how a result was reached, and learners know their effort was judged fairly. Learners know their effort is judged fairly.

Each Score Appeal also strengthens the system itself. Reviews capture edge cases that improve accuracy over time. This balance of AI scale and human judgment underpins a durable trust layer for skills verification.

Progress made visible

Capabilities aren’t built on snapshots. Leaders not only need skills data they can trust — they also need proof of how it’s changing.

Workera now shows verified progress over time — making growth observable, from baseline to today. Progress is measured three ways:

• Skill Readiness – % of assigned proficiencies achieved
• Assessments Completed – % of required assessments taken
• Skills Growth Velocity – average days for users (who weren’t at target at baseline) to reach required proficiency

Together, these metrics reveal where momentum is building and where progress has slowed, turning capability decisions into shared facts instead of impressions.

To make this insight even easier to use, Workera provides two layers of feedback:

Visual dashboards

• Program Completion Over Time – how many programs have hit all targets
• Skill-Level Growth – baseline vs. current scores, sortable by strongest or weakest gains

Automated highlights from Sage

• Callouts of fast or slow growth
• “Most improved” filters that spotlight top gains

Unlike other systems that report clicks, completions, or inferred skills, Workera verifies change with evidence: before-and-after scores, growth velocity, and context from Sage — all in one place.

Workera in Japanese

こんにちは

Language should never be a barrier to proving what you can do. Sage, Workera’s AI mentor agent, now verifies skills and provides support in Japanese.

Every translation has been reviewed for both technical accuracy and cultural nuance, so learners can work in their own language while leaders trust the same verified standards everywhere.

People data that stays aligned

HRIS integrations keep records consistent. Users are created, updated, or deactivated automatically, with programs matched by job family, profile, or level — no spreadsheets required.

Skills data, everywhere you need it

We are extending our API and webhooks making them more flexible than ever to connect with. Verified scores, domains, and program progress stream straight into dashboards, portals, or data lakes. Data shows up where you already work — in real time — giving leaders a dependable view of workforce capability.

That’s the September update: fairer scoring, clearer proof of progress, and broader reach. Log in to explore what’s new, or talk with your customer success manager about putting it to work in your organization.

👉 Want to see these updates in action? Book a demo. Already a customer? Reach out to your Workera team to get started today.