Evaluate planning, customer operations, sales, support, HR and process tasks against practical business outcomes.
A useful evaluation does not ask a business operations experts specialist for a vague opinion. It gives them a defined user, task, evidence set and rubric so their judgement can be compared, reviewed and reused. Payment, expected time, permitted materials and the review process should also be clear before a contributor accepts the work.
The required reviewer depends on what could go wrong. Routine clarity checks may need broad domain familiarity, while safety, professional standards or high-impact decisions need demonstrable business operations experts experience and an explicit escalation path.
Reviewers identify the source, rule or observable outcome behind important scores. Written rationales make disagreement inspectable and help the project owner distinguish a genuine model failure from an underspecified instruction.
Accepted corrections should not disappear into a spreadsheet. The strongest examples become versioned cases that teams can rerun after prompt, model, tool or policy changes to see whether quality improved without introducing a new failure.
Specialists first review shared business operations experts examples and compare material differences. Calibration exposes ambiguous instructions, missing evidence and inconsistent severity rules before those problems affect a larger evaluation or training dataset.
Projects should use approved, minimised evidence and clearly exclude confidential or unrelated material. Contributors need a visible way to pause, redact or escalate when a task would require information they are not authorised to disclose or assess.
SPECIALIST SKILLS
Explore all 8 capabilities. Each has its own qualification profile, example work, evidence contract and safety boundaries.
Test whether AI support systems understand intent, follow policy, resolve issues and escalate correctly.
Explore skillEvaluate multi-system task completion, exception handling, control adherence and evidence of a valid business outcome.
Explore skillEvaluate whether AI sales workflows use accurate evidence, maintain clean records and produce useful human handoffs.
Explore skillTest whether AI builds realistic plans, identifies constraints, maintains decision records and escalates delivery risk at the right time.
Explore skillEvaluate recruiting, onboarding, policy and employee-support outputs for accuracy, fairness, privacy and appropriate human decision ownership.
Explore skillTest audience, channel, CRM and reporting workflows for data quality, brand compliance and meaningful commercial outcomes.
Explore skillEvaluate whether AI uses authorised commercial evidence, respects approval boundaries and accounts for service, risk and total cost.
Explore skillTest whether AI identifies root causes, distinguishes waste from necessary control and proposes changes with measurable acceptance criteria.
Explore skillEXAMPLE PROJECTS
Every campaign defines its own scope, eligibility, quality checks and payment before work begins.
Every campaign defines its own scope, eligibility, quality checks and payment before work begins.
Every campaign defines its own scope, eligibility, quality checks and payment before work begins.