Quality
Open talent. Controlled quality.
An open expert network only works if quality is managed. Quality control is the layer MediaLanes owns — it is the product, not an afterthought.
The quality model
Expert verification
Identity, experience and skill claims are reviewed before approval.
Skill assessment
Practical assessments validate real execution ability per skill.
Task-specific QA
Each task type has its own review checklist and acceptance criteria.
SLA compliance
Delivery windows are tracked per task and factored into scoring.
Quality scoring
Scores accumulate across approvals, revisions and client acceptance.
Reputation
Consistent quality unlocks higher-tier tasks and better opportunities.
QA workflow
Submitted work is reviewed before it is delivered
- Submitted
- QA Review
- Approved
or
- Revision Required
- Resubmission
- Approval
Payment is released on approval, not submission.
Expert payout becomes eligible only after QA approval and SLA compliance.
Quality scores shown in prototype dashboards are sample data. Live scoring begins once tasks are executed on the platform.