ContentQuo Analyze Add-on

Get instant LQA insights
from your AI Analyst

Ask natural-language questions about your quality metrics and get instant answers.

Get scheduled quality digests delivered straight to Slack, Teams, or wherever your team already works.

Live today. Contact us to request it as a ContentQuo Analyze add-on.

Book a free demo about ContentQuo Analyze

THE CHALLENGE

Yes, you have a lot of data.
But are you getting real insights?

Getting a straight answer out of your LQA data usually means one of four slow paths.

Static reports go stale immediately

A report answers last month’s question. The moment you need a different cut, you’re back to square one.

Waiting for analysts to create custom reports takes time

Need a vendor comparison or a language-pair trend this week? That's a ticket to your LSP — not a self-serve answer.

Years of historical scorecards sit unused

Legacy LQA data lives in old exports and spreadsheets, disconnected from any tool that could actually reason over it.

Nobody has time to check all the dashboards daily

Quality trends slip through the cracks because checking them is a task nobody formally owns — until something breaks.

How It Works

How does AI Analyst turn your LQA program data into insights?

Most quality dashboards make you dig for the answer yourself — filter by vendor, filter by language, export, pivot, repeat. AI Analyst Assistant skips all of that: ask a plain question, and it answers directly — as a number, a table, or a chart, the way an analyst would build it by hand.

AI Analyst Assistant answering a quality metrics question in chat

REPORT CHARTS

The exact chart you need. Just ask

No manual filtering, no spreadsheet know-how required. Ask a plain question — or several — and get back the exact chart, table, or trend you need, instantly. It's the fastest way to explore your data and spot what the default reports miss.

INTEGRATIONS

Send scheduled reports to a tool of your choice

Connect Slack, Teams, Blackbird - as built-in integrations. Also, add integrations with any other tool of your choice via n8n connector, already available for you.

SCHEDULED DIGESTS

A daily, weekly, or monthly quality summary

Set up a digest once and never remember to check a dashboard again. AI Analyst Assistant posts the summary itself, on the cadence you choose — weekly, per client, per language, however your team works.

FOLLOW-UP QUESTIONS

Drill into any answer without starting over

"Why did that spike in March?" "Show me by language pair instead." Keep refining the same answer — AI Analyst Assistant reasons across your whole quality history, so every follow-up builds on what you already asked, not a new report from scratch.

MEMORY

Tell it once. It remembers for every future digest.

Don't like what's in your report? Just say so — in plain language, right in the chat. “Only show me outliers, skip anything that's business as usual.” The next scheduled digest reflects that instruction automatically, and every one after it.

PERSONALIZED DIGESTS

Digests built around who's reading them.
No generic reports

These are just a few examples. You choose the audience, the cadence, and what's included — anything from a quick weekly pulse for the whole team to a daily pulse for high-volume programs.

QUALITY MANAGER · WEEKLY, DETAILED

The full breakdown

Full detail by vendor, language pair, and error category — the depth a QM actually works from.

LOCALIZATION DIRECTOR · MONTHLY SUMMARY

The executive view

Short and scannable — built for a leadership update, not a spreadsheet.

TRANSLATION SUPPLIER · BI-WEEKLY, SCOPED

Just their own work

Vendors see only their own evaluated output — so you can share quality data externally without exposing anyone else's.

BRING YOUR OWN LLM KEY

Your data never trains our models

Plug in the AI model you already use and trust. OpenAI, Anthropic, Google Gemini, or an approved open-source model. ContentQuo doesn't train on your data, your requests simply pass through to the model you've chosen, under whatever data terms you already have with that provider.