Experiential learning is the best type of learning. No theoretical classroom lectures, let’s learn through practice and putting in the reps. Our new digital accessibility platform teaches your team on practical, real-world accessibility (specific to your digital assets) while they’re remediating issues identified in your accessibility audit report.
Let’s discuss.
| Training Aspect | Key Benefits |
|---|---|
| Learning Method | Developers learn through fixing real issues in their actual codebase, not abstract theoretical examples. |
| AI Guidance | Instant, contextual help with pre-prompted AI tools that understand your specific audit issues and code context. |
| Time to Competency | Developers go from zero to competent in weeks, not months, through repetitive practice on real problems. |
| Cost Savings | No $500+ training programs needed. Education is built into the remediation process, reducing both training and support costs. |
| Knowledge Retention | Learning through fixing actual code creates lasting knowledge that sticks, unlike theoretical training sessions. |
| Pattern Recognition | After fixing 10+ similar issues, developers develop intuitive understanding and can prevent future problems. |
| Organizational Impact | Creates permanent accessibility capability across the entire development team, not just one specialist. |
| Multiplier Effect | Trained developers become mentors who share knowledge in code reviews and establish accessible patterns in component libraries. |
Key Takeaways:
- Developers learn accessibility best through remediating real issues vs. standard training
- AI tools provide instant guidance on your asset’s actual accessibility issues
- Teams build expertise while fixing real problems in your codebase
- Every issue builds the accessibility knowledge of your team
- This also reduces technical support costs while upskilling your team
Applied Accessibility Training
It’s best if your team is already trained on the Web Content Accessibility Guidelines (WCAG). That background knowledge definitely helps, but there’s also no reason instant immersion can’t still be effective.
Loose analogy: It really helps to have swimming lessons to build a foundation, but you can also just start swimming in a pool and improve over time.
And just by its nature, developer accessibility training involves generic examples, abstract WCAG documentation, and theoretical scenarios. This means developers sit through workshops learning about hypothetical dropdown menus and sample form fields.
Which is fine. Training is good. But when they return to their actual codebase, they can’t always connect the dots.
The disconnect is obvious: your React components don’t look like the vanilla HTML in training materials. Your complex SPA navigation doesn’t match the simple examples. Your design system has unique constraints the training never addressed.
But what really helps with all of this is AI instruction on the actual issues your team needs to fix, in their actual code, with their technical stack.
And even though developer training isn’t the feature benefit, that’s exactly what Accessibility Tracker delivers.
The Reps That Build Real Expertise
When your developer encounters their first keyboard trap issue (WCAG 2.1.2), they don’t need a 30-minute video about keyboard navigation theory. They need to understand why their specific dropdown menu is trapping users and how to fix it right now.
Here’s how it works inside Accessibility Tracker:
Your developer views the issue from your audit report. All the context is there – the specific URL, the applicable code, the auditor’s notes. They click “Analyze with AI” and select from 5 pre-prompted tools:
Simplify and Explain breaks it down: “Your dropdown menu lets keyboard users in but won’t let them out. Users pressing Tab expect to move to the next element, but they’re stuck cycling through the same menu items.”
Detailed Technical Answer provides the exact fix with code examples tailored to the issue. Not generic documentation – actual implementation guidance.
Alternative Approaches offers different solutions when the standard fix doesn’t work with your existing functionality.
Each rep – each issue fixed – builds pattern recognition. After fixing 10 keyboard navigation issues across your site, your developer intuitively understands keyboard accessibility. They’re not memorizing rules; they’re developing instincts.
From Zero to Competent in Weeks, Not Months
Let’s follow a developer’s actual journey using Accessibility Tracker:
Day 1-5: They’re assigned 30 alt text issues. The first one takes 15 minutes as they learn what makes alt text effective. By issue 10, they’re spotting patterns. By issue 30, they’re writing quality alt text without checking the AI. They’ve internalized the principle through repetition.
Week 2: Form labeling issues introduce new concepts. The AI explains programmatic relationships, showing how screen readers connect labels to inputs. They learn by fixing your actual forms, not theoretical examples.
Week 3-4: ARIA implementations get complex. But the developer has context now. They understand how assistive technologies work because they’ve fixed dozens of issues. The AI guides them through landmarks and live regions using your specific implementations.
Month 2: Something interesting happens. The developer starts preventing issues. During code review, they catch accessibility problems before they reach production. They’re suggesting accessible patterns in planning meetings. They’re answering teammates’ accessibility questions.
Stated another way: after fixing 150 real issues with AI guidance, your developers will have immediately leveled up their accessibility game by working through the code they encounter every day.
Money Savings
Beyond the featured time and money saving that takes place through less validation, there’s also the possibility that after 5 or so projects, you don’t really need to spend $500+ on a training program.
If you take the Accessibility Tracker approach, developers learn while fixing actual issues. The AI tools eliminate hours of technical support per project (multiple that by number of projects). You save the training costs AND reduce support hours. The education is free, built into the remediation process.
But here’s the real value: the knowledge sticks. When developers learn by fixing their own code, they remember. Your next audit finds fewer issues because developers are implementing accessible patterns from the start.
Platform AI Efficiency
The AI in Accessibility Tracker isn’t generic ChatGPT. Each tool is pre-prompted with accessibility expertise and loaded with your specific audit data. When a developer asks for help, the AI already knows:
- The exact issue from your audit
- The WCAG success criterion involved
- Your code context
- Best practices
No prompt engineering required. No copying and pasting audit details. Just immediate, relevant guidance exactly when needed.
What this means is developers spend time fixing, not searching. They’re learning through application, not theory. Every issue resolved is knowledge gained.
Building Organizational Capability
After your first project with Accessibility Tracker, your organization has:
- Developers who understand accessibility principles
- Team members who can identify issues proactively
- Reduced dependency on external consultants
- Embedded accessibility knowledge in your development culture
This isn’t temporary project knowledge. It’s permanent organizational capability.
Your developers now evaluate third-party components for accessibility. They ask about keyboard navigation in design reviews. They test with screen readers. They’ve moved from compliance-driven fixes to user-centered thinking.
The Multiplier Effect
Here’s what happens when developers learn accessibility through real fixes:
Immediate impact: Current audit issues get resolved correctly Short-term benefit: Future features built with accessibility in mind Long-term value: Accessibility becomes part of your development DNA
Each developer who goes through this experiential learning becomes a multiplier. They share knowledge in code reviews. They mentor junior developers. They establish accessible patterns in your component library.
Soon, accessibility isn’t a specialty skill held by one expert. It’s distributed knowledge across your entire team.
Getting Started
The process is straightforward:
- Upload your accessibility audit spreadsheet to Accessibility Tracker
- Assign issues to developers
- Let them learn through AI-guided fixes
- Watch expertise build with each resolved issue
No training budget. No schedule disruption. No abstract theories. Just practical learning through real work.
Your developers want to build accessible products. They just need the right guidance at the right moment. Accessibility Tracker provides exactly that – contextual, practical education while they’re fixing actual issues in your codebase.
Get started with a free plan at AccessibilityTracker.com and turn your audit remediation into a strong learning experience that builds lasting expertise.
