1.
Dynamic Quality Framework
Dace Dzeguze
TAUS Global Content Summit

2.
Fixing the operational gap
©Performance Management Company

3.
Inclusive
Industry-
shared
Data-
informed
Dynamic
DQF Principles
• Quality is not static, but well defined
• Choice of methodology is based on content type, process, communication
channel and target audience
• Industry-wide agreement on measurements and benchmarks
• Quality management is data-informed

4.
Connectivity
Open API & Plugins
Integration
Most common
CAT tools & TMS
Data collection
Translation & review
processes
Visualization
Interactive
dashboard
Performance
tracking
Project-level and
benchmark reports
How it works

5.
DQF Integrations

6.
Harmonized DQF-MQM error typology

7.
Perform project level analysis
• Average productivity rate
• Edit distance
• Ratio of edited segments
• Time spent
• Corrections density
• Error density

8.
Analyze trends in your own organization

9.
Benchmark your results against the industry
Compare the averages per language pair, content type, process, etc.

10.
Measuring the sweet spot TM vs. MT

11.
Less edits in post-edited MT than in fuzzy TM

12.
DQF Roadmap 2019
• BI Bulletins
• My DQF Toolbox
• DQF Confidence Score
• More integrations

13.
Thank you