The Intro Taxonomy Audit
The Intro Taxonomy Audit
Want to understand if your taxonomy is up to the job you’re using it for, meets your business needs and supports your AI/ML or other classification tech the best that it can? With Subtextive’s Intro Taxonomy Audit, you can! Our Intro Taxonomy Audit is the starting place for understanding and tuning your taxonomy.
-
Purchase the Intro Taxonomy Audit. (Be sure to accept our Terms & Conditions when you do!)
We’ll send you an email to confirm your purchase, acceptance of Terms & Conditions and to schedule your 60-min interactive sessions. We’ll also ask for a confidential copy of your taxonomy before scheduling your 60-min interactive session.
We have the interactive session and get to know about your taxonomy and what it needs to do.
We share our summary of the session.
We dig into auditing the taxonomy, following up with Q & A along the way.
We schedule your Taxonomy Scorecard read-out and share the Scorecard with you.
We wrap up with the Scorecard read-out.
-
• 60 min interactive session to understand your taxonomy. We want to find out about the use cases, business needs, product and tech it drives, supports and interfaces with. We want to hear the good, the bad, the ugly … and the unknown!
• Written and/or visual summary of the taxonomy walkthrough session
• Up to 5 hrs of taxonomy review including Q & A as needed
• Taxonomy Scorecard with insights and high-level recommendations
• 45 min read-out of the Taxonomy Scorecard
-
– Intro Taxonomy Audit purchases are valid for 30 days from date of purchase unless otherwise extended in writing
– Intro Taxonomy Audit purchases cannot be refunded. Funds may be applied to another product if this isn’t the right fit
– Note that audit activities are time boxed. Larger taxonomies may benefit from a deeper dive. If so, this will be surfaced in our recommendations.
Taxonomies are used for a specific purpose, to meet specific needs. They need to support defined use cases and business needs. They need to interface with, and in many cases drive, specific technologies and the outputs they generate. They’re often abused, being asked to meet many needs simultaneously while not being well-designed for any of them. They support your data annotation practices and set customer expectations
Is your taxonomy meeting the needs it should be supporting? Is it designed to interface with supporting technologies as well as it can? How well does it score on factors like fit to use cases, naming, structure, category boundaries, support for interfacing technologies, industry trends and standards, coverage of data inputs, readability and support of data annotation practices?
With our Intro Taxonomy Audit, you can find out.