QA Scorecard Builder

Build Custom QA Rubrics in Seconds

Stop wrestling with clunky rule engines. Describe what you want to QA in plain English, or just paste your existing scorecard, and let our AI generate your QA form instantly.

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Human Friendly, AI Powered Quality Monitoring Forms

Building scorecards for Auto QA shouldn't require an engineering degree or a messy spiderweb of keyword rules. Voxjar auto generates AI friendly monitoring forms that match your business needs and leverage the most recent breakthroughs in AI.

Scorecard Prompting

Generate Your Ideal Scorecard

Describe what you want to review on your calls in plain language. Voxjar will generate an AI friendly QA scorecard that matches your requireements and can scale to 100% call coverage.

Already have a QA form in a spreadsheet or other tool?

Simply copy and paste your existing criteria into the builder. The AI will instantly parse your text and convert it into a fully formatted Voxjar automated scorecard.

Voxjar AI generating a scorecard from a simple text prompt

Powered By Large Language Models

No Keyword Searches Required

Voxjar writes your scorecard questions in plain language. Making your forms useful for both AI and Human reviewers.

Because Voxjar uses Large Language Models to evaluate calls, QA forms only need to explain the criteria, like you would for a human (e.g. "Did the agent overcome the pricing objection?"), instead of matching dozens of rigid keywords and phrases.

AI evaluations will respond with quantitive (points & predefined answers) and qualitative (an explaination for its response) feedback.

Plain English Rules evaluating intent over strict keywords

Human & AI Support

Easy to Manually Edit & Build

All scorecards, even AI generated, are easily edited by your Human team.

A familiar form builder experience with the tools you'd expect for autofails, conditional logic, pass/fail controls, and custom point values.

Start with the AI and edit to match your needs or build manually, entirely from scratch.

Voxjar Split view showing AI handling compliance and humans handling empathy

Test Scorecards with AI

Validate Your QA Form Before You Deploy

Before rolling out a new scorecard to analyze thousands of calls, test it on real calls in Voxjar's scorecard editor.

Run your newly generated QA rubric against sample calls to ensure the AI evaluates them the way you intended, and tweak the prompts if needed.

Rapid Validation against historical transcript data

Voxjar Makes an Impact

Don't just take our word for it

Frequently Asked Questions

Got questions about building automated rubrics? We've got answers.

Can I literally just paste my existing excel scorecard in?

Yes! You can copy text directly from your existing documents or spreadsheets and paste it into the builder. The AI parses the text, recognizes your individual grading criteria, and generates a formatted, automated Voxjar rubric ready for testing.

Do I need a developer to update the scoring rules?

Not at all. The entire engine runs on Large Language Models like ChatGPT, Claude, and Gemini that understand plain English. If you want to change what a question looks for, you just type natural instructions like "Fail this question if the agent doesn't schedule a follow up.". No regex or keyword mapping is required.

How do I calibrate the AI if it's grading something wrong?

You can instantly test new models against historical calls. If the AI misunderstood the nuance, simply update the instructions for that specific scorecard question (e.g., "Make sure you don't flag X as a failure if Y was present"). It's highly iterative and easy to lock in.

Build your first rubric today.

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