Accelerated Innovation

Evaluating & Selecting Your Models

Defining Your Model Objectives & Requirements

Workshop
Are your model objectives, requirements, and success criteria explicit and measurable before you evaluate or tune anything?

Many GenAI model evaluations fail before they begin because objectives and requirements are vague, implicit, or misaligned across stakeholders. This workshop helps teams clearly define what success looks like so model selection and tuning decisions are grounded in concrete, shared criteria. 

To win, teams must define clear functional goals, non-functional requirements, and measurable success criteria before evaluating or tuning any model.

The Challenge

Teams struggle to define model objectives in ways that support strong downstream decisions: 

  • Ambiguous goals: Describe what the model should do without specifying how well it needs to perform. 
  • Unmeasured requirements: Talk about accuracy, latency, or scalability without tying them to concrete metrics. 
  • Misaligned stakeholders: Capture incomplete or conflicting requirements across product, engineering, and business teams. 

Unclear objectives lead to weak evaluations, endless iteration, and models that miss real-world expectations. 

Our Solution

In this hands-on workshop, your team defines clear, testable model objectives and requirements and translates them into documented criteria that guide evaluation and tuning. 

  • Define functional and non-functional goals for GenAI models. 
  • Establish accuracy, latency, and scalability criteria tied to solution needs. 
  • Map high-level objectives to concrete evaluation metrics. 
  • Capture stakeholder requirements in a structured, repeatable way. 
  • Document clear model success criteria to guide selection and optimization. 
Area of Focus
  • Defining Functional and Non-Functional Model Goals 
  • Setting Accuracy, Latency, and Scalability Criteria 
  • Mapping Objectives to Evaluation Metrics 
  • Capturing Stakeholder Requirements 
  • Documenting Model Success Criteria 
Participants Will
  • Clearly articulate what their GenAI models must do and how well they must perform. 
  • Translate abstract goals into measurable evaluation criteria. 
  • Align stakeholders around shared model requirements. 
  • Reduce ambiguity early in the model selection process. 
  • Produce documented success criteria that guide evaluation and tuning. 

Who Should Attend:

Product ManagersSolution ArchitectsML EngineersGenAI EngineersEngineering Managers

Solution Essentials

Format

Virtual or in-person

Duration

4 hours 

Skill Level

Introductory to intermediate

Tools

Objective definition templates and evaluation planning artifacts provided during the workshop

Are your model evaluations grounded in clearly defined objectives and requirements?