Skillshare · Skillshare Terms of Service

Limited Refund Policy

High severity
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Why it matters

Consumers who cancel after being charged have very limited ability to recover funds, and there is no pro-rated refund for the remainder of a billing period.

Consumer impact

Skillshare's Terms significantly limit consumers' legal recourse by requiring binding individual arbitration and waiving class action rights for all disputes. Subscriptions auto-renew and charge your payment method automatically, with very limited refund options and no refund if you cancel mid-cycle. You can opt out of mandatory arbitration by sending a written notice to Skillshare within 30 days of first agreeing to these Terms.

What you can do

⚠️ These actions may provide transparency or partial mitigation but may not fully address the underlying issue. Effectiveness varies by jurisdiction and individual circumstances.
  • Dispute a Fee
    Visit Skillshare's Refund Policy page at https://help.skillshare.com/hc/articles/204536798 and follow the instructions to request a refund. Note you are limited to one refund and must not have used a 7-day or longer free trial.

Applicable agencies

  • FTC
    The FTC may investigate whether Skillshare's refund limitations constitute unfair or deceptive billing practices under consumer protection law.
    File a complaint →

Provision details

Document information
Document
Skillshare Terms of Service
Entity
Skillshare
Document last updated
March 24, 2026
Tracking information
First tracked
March 20, 2026
Last verified
March 20, 2026
Record ID
CA-P-001287
Document ID
CA-D-00243
Evidence Provenance
Source URL
Wayback Machine
SHA-256
2e3b97a97afe14701a533e05d17b4dcfb5a3c9b6f2a790608f3af5440b607f17
Verified
✓ Snapshot stored   ✓ Change verified
How to Cite
ConductAtlas Policy Archive
Entity: Skillshare | Document: Skillshare Terms of Service | Record: CA-P-001287
Captured: 2026-03-20 12:03:44 UTC | SHA-256: 2e3b97a97afe1470…
URL: https://conductatlas.com/platform/skillshare/skillshare-terms-of-service/limited-refund-policy/
Accessed: April 4, 2026
Classification
Severity
High
Categories

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