GOOGLE CLOUD STORAGE AUTOMATED QUALITY ASSURANCE

Evaluate Your Call Recordings in GCS with Artificial Intelligence

Connect your Google Cloud Storage buckets with Voxjar for easy AI call scoring. 
Call monitoring has never been this powerful. Try it for free.
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STEP 1 

Connect Voxjar to your Google Storage bucket

Unlock Voxjar's power by integrating with your Google Cloud Storage buckets. You can connect with GCS from  within your Voxjar account.

Once integrated, you'll have fine grained control over which calls get evaluated.

Assign them to your human quality analysts or to Voxjar's AI evaluator.

gcs integration
STEP 2

Map your metadata

Voxjar will prompt you to map your metadata files from Google Storage to fields in Voxjar. 

Once your mappings are saved, they will be used as filters throughout Voxjar for reporting and for deciding which call recordings should be pulled from your storage buckets.

STEP 3

Create Google Cloud Storage queues for call evaluations

Build custom queues in Voxjar to automatically find call recordings in your Google Cloud buckets and assigns them to your quality monitoring team or to Voxjar's AI evaluator.

Customize your GCS queues with filters pulled directly from your metadata maps.

Or with standard Voxjar filters:

  • number of calls evaluated per agent
  • total number of calls per queue cycle
  • call direction
  • calculated call duration

You can also set rules for evaluation queues

  • choose a required scorecard
  • assign an evaluation deadline for your quality monitoring team
  • select the users who should evaluate calls from this queue
  • select Voxjar's AI evaluator to score calls
  • create a window for data collection (pull calls from x days ago)
STEP 4

Review your Google Cloud Storage call recording scores

Once you’ve created your queues, calls will automatically be pulled into Voxjar on the schedule you've selected. You'll get notifications when the queues complete, or you can watch your quality monitoring team's progress in Voxjar.

When you use Voxjar's AI evaluator you'll see results in minutes instead of days or weeks from your human QA team.

 

example of ai quality assurance score for a phone call

Want to see what an AI evaluation looks like? We'll give you one for free.

 

Just drag and drop a call recording, select a scorecard template, and your done.

Don't worry, we encrypt and protect any data sent to us, and will purge it if you decide not to use Voxjar.

Best Practices for Google Cloud Storage Call Recordings 

Setting up your GCS buckets for AI evaluations is easy. After linking your account, Voxjar does all of the heavy lifting and provides you with simple tools to make call evaluations extremely efficient and effective.

Your Call Recording Quality

Voxjar can process audio files recording in mp3, wav, flac and many other formats. For the best results, though, record in an uncompressed or lossless format. 

If you can't, don't stress. Voxjar uses cutting edge speech recognition and large language models for the best possible results with all formats.

Call Recording Speaker Separation : Mono vs Stereo

Recording your calls in stereo format means that each speakers on a call are recorded in separate audio streams. This let's Voxjar's AI evaluator identify exactly who said what without guessing.

If you can't record in stereo, Voxjar's AI evaluator can infer the differences between speakers based on their speech patterns with high accuracy.

Integrations

Integrate with the platforms you use

Voxjar integrates with cloud storage providers, FTP servers, and popular telephony platforms to make data collection automatic and controllable.

Each integration pulls call recordings and metadata according to the rules that you set so we're only working with the data that you want.

We regularly add new integrations. Let us know if you don't see your platform.

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