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Documentation Index

Fetch the complete documentation index at: https://trygradient.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

Assessments

An assessment is a structured evaluation that measures a candidate’s ability to use AI tools effectively for knowledge work. Think of it as a realistic work sample test - but instead of a whiteboard coding exercise, candidates produce real deliverables with AI assistance.

What’s in an assessment?

Each assessment contains:
  • Task brief: A realistic work prompt (e.g., “Create a product strategy deck for entering the European market”)
  • Time limits: Separate timers for setup and task phases
  • Data sources: Documents the candidate can connect and search (some useful, some distractors)
  • Deliverable type: The expected output format (presentation, document, or spreadsheet)
  • Scoring rubric: The criteria used to evaluate the candidate’s work

Assessment lifecycle

1

Draft

You create an assessment with a task brief, time limits, and data sources. Templates are available for common roles.
2

Active

The assessment is ready to accept candidates. You can invite people and they’ll receive unique links.
3

Scoring

After candidates submit, the scoring engine evaluates their work automatically.
4

Review

You review scores, adjust if needed, and optionally release feedback to candidates.

Templates

Gradient includes pre-built assessment templates for common roles:
TemplateRoleDeliverable
Retail Chain Digital Transformation StrategyStrategy Consultant / Business AnalystPPTX
Sales Territory & Headcount PlanningSales Strategy / RevOps AnalystDOCX
Product Go-to-Market StrategyProduct ManagerPPTX
Sales Transition: Account Takeover StrategyAccount Executive / SalesDOCX
Use the Seed Assessments API to create these automatically, or build your own from scratch.

Signal vs. noise

A key feature of Gradient assessments is the signal/noise pattern in data sources. When you attach documents to an assessment, you mark some as signal (relevant to the task) and leave others as noise (distractors). This tests whether candidates can identify which information actually matters - a critical AI fluency skill.
A good assessment has a roughly 60/40 mix of signal to noise documents. Too little noise makes the task trivial; too much makes it frustrating.