Once a candidate completes their assessment, TalentAlly doesn’t just score their output — it analyzes how they worked, what they solved, and where they showed strength or hesitation.

This is where the signal becomes actionable.

✅ AI Grading, Done with Context

Grading isn’t just “pass/fail” or based on output alone. TalentAlly uses multiple layers of analysis to evaluate each candidate's performance:

• Correctness: Did the solution work as intended?

• Approach: How did they get there? What was their thinking process?

• Efficiency: Did they write clean, maintainable code or workflows?

• Adaptability: Did they show signs of understanding vs. trial-and-error?

All of this is embedded in their SkillsProject Profile — so you’re not just looking at a score, you’re seeing the “why” behind it.

🧠 Interview Recommendations, Built In

Alongside grading, TalentAlly gives you targeted interview suggestions based on each candidate’s submission.

These can include:

• Suggested follow-up questions

• Areas to dig deeper

• Blind spots or warning signs

• Skills that likely need validation in a live conversation

So when you move to the interview, you're not starting cold. You're focused, efficient, and already informed.

📊 How It All Comes Together

You’ll see:

• A final score + scoring breakdown

• Code playback and analysis

• Video responses (pre + post)

• Suggested next steps

• A shareable, reusable profile for every candidate

TalentAlly doesn’t replace your judgment. It gives you the signal you’ve been missing.