CodeSignal Learning in Context
Close skills gaps with practice built from real work
CodeSignal measures employees’ skills from the work they already do. Then Cosmo, our AI coach, creates tailored practice to build new skills and take existing skills to the next level.
Turn skills data into professional development opportunities
Agents measure what each employee can do today, then Cosmo turns that into hyper-personalized practice built for their needs.
Turn everyday work into practice. If a customer success manager’s Gong calls show they stall on pricing objections, Cosmo builds a scenario with a similar client so they can rehearse before the next renewal.
Fill gaps and push skills further. Cosmo analyzes your employees skill levels and suggests practice to develop their skills, so your team’s proficiency grows as they grow.
Compare each person’s skills to a job profile for their role. When someone is behind on a skill the role needs, Cosmo shows them where they stand and what to practice next.
See whether training changed how people work, weeks and months after it ends. Agents keep measuring skills from real work and post-learning assessments.
Make training count
See the real ROI of your training
Completion rates tell you who clicked through. Certificates tell you what people have spent time learning. Validated skills data tells you what employees can actually apply and if your training leads to better work.
Increase your training program's efficiency
Practice tied to someone’s own work is guaranteed to deliver results compared to a generic video course for the entire team. Each practice targets the exact skill they need, so no time gets wasted on what they already know.
Give your people a coach in their corner
Cosmo’s coaching is custom to each employee, and managers can see growth over time. Your team gets feedback that helps them improve, and you get the skills data to plan what’s next.
One source of skills truth, from recruitment to promotion
Validated skills data connects every decision your team makes, so hiring, learning, and planning all run on the same evidence.
See what skills your team has
Observe and measure real skills from the work employees are already doing in tools like GitHub, Gong, and Google Workspace.
Create relevant learning and upskilling opportunities
Track priority skills and use Cosmo, CodeSignal’s AI coach, to create custom learning and practice based on the skills employees need to build or improve.
Validate your training is paying off
A completion score does nothing to tell you if work is being improved. Use skills intelligence to prove the ROI of your training.
Real teams getting real results
See how UnitedHealth Group, Brex, Instacart, and other innovators build stronger teams with CodeSignal.
CodeSignal adds evidence of proficiency, how well people apply skills in their work, and connects it to personalized development. That helps leaders make better decisions while giving employees a clear path to grow.
Josh Bersin
Josh Bersin Company
CodeSignal has helped us to manage a very high volume of candidates in our process and quickly assess their technical acumen, without using a ton of engineering hours.
Nadia Abouzaid
Head of Diversity Talent Programs
Some students are actually getting very interested in AI and coding things I'm not even asking them about, because the [CodeSignal] platform is fun.
Dr. Andrea Martin
Professor, Practice of AI and Business
of skills taught in traditional workplace training transfer to the job
of employees say theory-heavy learning fails to build skills
greater skill retention with practice-based learning
Works with what you use
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Ready to turn practice into proven skills?
Explore more
See how validated skills data helps you plan your workforce, develop your people, and prove the value of AI.
AI transformation
Go beyond adoption numbers. See whether your people are doing meaningful work with AI, and where they need support.
Skills intelligence
Measure skills from real work artifacts, scored against rubrics, so every skills profile is built on evidence.
Work intelligence
Turn validated skills profiles into workforce decisions, from gap analysis and internal mobility to succession planning.
Frequently asked questions
What is learning in context?
Learning in context is CodeSignal’s approach to skills-based learning. Agents measure each employee’s skills from their real work. Then Cosmo, our AI coach, builds tailored practice around the gaps and growth areas that matter most for that person’s role, using real-work scenarios they are encountering.
How is CodeSignal's practice different from a course library?
A course library offers the same content to everyone. CodeSignal starts with each person’s validated skills profile, so practice is built around their real work, their tools, and the skills their job requires.
What work does CodeSignal use to measure skills?
Agents evaluate work from tools your team already uses, depending on the role. Examples include GitHub, Gong, Salesforce, Google Docs, and AI tools like ChatGPT, Claude, and Gemini. Every skill is scored against structured rubrics grounded in I-O Psychology.
What does a practice session with Cosmo look like?
Cosmo builds a scenario based on the situations someone faces in their job. For example, a sales rep might practice handling a tough pricing conversation with a client like the ones in their pipeline. Cosmo gives real-time feedback as they go.
Does learning in context help employees who are already strong in a skill?
Yes. Skills profiles show which skills someone has and how proficient they are. Cosmo uses that to suggest practice that takes strong skills to the next level, and compares each person to the job-level skills profile for their role.
How do I know the training worked?
Agents keep measuring skills from real work and post-learning assessments after training ends. You’ll see whether skills improved in the work itself, which is more reliable than completion rates or self-reported confidence surveys.
What is Cosmo?
Cosmo is CodeSignal’s AI coach. It turns skills data into tailored learning for each employee, builds practice scenarios from their real work, and gives personalized feedback along the way.