Changelog

Fairgen's platform just got a major upgrade - Here is what's new

Faster. Cleaner. More flexible.

We’ve rolled out a major experience upgrade across the Fairgen platform, making workflows smoother, results faster, and every interaction more intuitive.

Fairgen helps research teams get reliable insights from hard-to-reach segments and protect their data from low-quality respondents - without re-fielding or blowing the budget.

This update makes that intelligence easier to use.

A cleaner Boost setup - start to finish

Boost helps you augment hard-to-reach audiences using statistically grounded machine learning models.

Now, the entire setup flow is simpler. No more workspaces to create or credits to assign - just sign in and see all your projects in one place.

Grouped columns and recoded variables are automatically detected by our algorithms and surfaced for review. You select the niche audience you want to expand - and generate your augmented dataset in just a few clicks.

Less configuration. More control. Faster results.

A Boost report you’ll actually enjoy reading

Once your niche audience is boosted, you can immediately analyze how the augmented sample distributes across variables.

We redesigned the Boost report to make navigation clearer and insights easier to interpret - so you can confidently understand your synthetic sample and share findings with stakeholders.

Clarity builds trust.

Faster, clearer Check tables

Check protects your data quality through layered detection, combining rule-based screening and model-powered analysis to flag fraud, inattentiveness, and suspicious behavior.

Previously, loading and navigating results slowed teams down.

Now, your Check report loads in seconds.

Respondent tables are cleaner and fully sortable, so you can quickly see why someone was flagged and filter by score, rule triggers, or behavior signals.

Serious detection.

Zero lag.

And we’re not stopping here.

We’re releasing improvements weekly.

Coming soon: Check Live : a real-time integration that allows survey platforms to run our outlier detection while respondents are still in-survey, enabling termination before bad data enters your dataset.

Because prevention beats cleanup.

• Discover Fairgen Boost
• Discover Fairgen Check‍
• Learn how global brands have adopted Fairgen's methodology

Check now runs in under 5 minutes!

We’ve rebuilt core parts of Check to dramatically reduce total runtime.

From the moment you upload your dataset to the moment you export flagged respondents, the full process now completes in under 10 minutes.

Alongside the speed improvements, we’ve made Check clearer and more flexible:

More control over flags

Manually select and unselect respondents you don’t want labeled as outliers.

Clearer live previews

Live previews now only show columns relevant to each check — including Open-Ended checks, Response Speed, and Chuck.

Smarter time detection

Check now supports both total survey time columns and Start/End time columns, automatically calculating response time either way.

Less waiting. Cleaner reviews. More control.

Upload more. Boost faster.

Previously, uploading more than 20 boosts at once could overload the system and lead to failures.

That limit is gone.

Boosts now run in parallel, so you can upload and process as many files as you need — all at once, without interruptions.

No more workspaces

Say goodbye to workspaces.

You no longer need to create workspaces or assign credits.

Just sign in and see all of your projects in one place.

Fewer steps. A simpler way to work.

LLM Quality Inspector Agent (Chuck)

We’ve added Agentic Checks, powered by our new LLM inspector, Chuck.

Chuck identifies contradictions in your survey that typically only a human reviewer would catch. He does this by analyzing your survey structure and automatically grouping questions that should be evaluated together — including funnels, opposites, repeated brand sets, and behavioral sequences. For each group, Chuck:

• Provides a short explanation of why the questions were grouped
• Allows you to review or edit the grouping
• Check each respondent for contradictions or logically inconsistent answer patterns

This update adds deeper context checks with no manual configuration.

Updates to Fairgen Check

Based on Beta feedback, we’ve released several workflow and clarity improvements:

• XLSX downloads for quick offline analysis
• Manual check/uncheck controls for adjusting flagged respondent selections
• Improved live preview tables that highlight anomalies more clearly
• Shorter, clearer flag explanations to make decisions easier

REST API for Boost Generation

You can now run Fairgen Boost fully through our REST API.

The API supports:

• Dataset upload
• Structure upload
• Niche selection
• End-to-end Boost generation

This allows automated or large-scale workflows without using the UI.

Decipher XML Support

Fairgen now accepts XML survey structure uploads.

Our autodetection algorithm reads the XML file and automatically identifies derived variables/ recodings. This removes the need for manual recode setup and reduces opportunities for configuration errors.

Upload the XML and Fairgen handles structure interpretation automatically.