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Product & OperationsSimulated project

Customer Support Specialist portfolio brief

A simulated product & operations exercise for Customer Support Specialist. Treat it as realistic practice, not real client or protocol work.

Objective

Document five common Web3 support scenarios

Expected deliverables

Support ticketTroubleshooting noteEscalation packageHelp articleKnown-issue updateSupport insights report

Recommended workflow

  1. Document five common Web3 support scenarios
  2. Build a safe troubleshooting and escalation flow
  3. Write a report showing how support evidence should change product or documentation
  4. Review the result against the rubric, then package it as a case study.

Constraints and safety

  • Use only public sources or clearly simulated data.
  • Never include seed phrases, private keys, or wallet secrets.
  • Redact private user, company, security, legal, or compensation information.
  • State every assumption you make.

Tools in practice

Zendesk or Intercom
Triage cases, preserve account and transaction context, use approved macros, and escalate security or product issues without requesting sensitive credentials.
block explorers
Verify transactions, contract addresses, events, token movements, deployment state, and incident claims against chain data.
internal admin tools
Inspect account or transaction state under least-privilege access and record every sensitive action.
Notion
Draft, review, and maintain support ticket and troubleshooting note, with owners, source links, and change history.
Linear or Jira
Track decisions, dependencies, bugs, and owners connected to support ticket and troubleshooting note; the ticket is a coordination record, not the work itself.
status and incident tools
Check current service state, link cases to active incidents, and keep user-facing explanations aligned with confirmed technical facts.

What a strong submission shows

  • A troubleshooting decision tree
  • Three anonymized case studies
  • A support-to-product insight report
  • A safe macro library

Weak submission patterns

  • Fast-response screenshots with no resolution quality
  • Asking users for sensitive credentials
  • Generic empathy scripts with no diagnostic logic

Review rubric

  • Accuracy of claims and sources
  • Relevance to the target role
  • Decision quality and trade-offs
  • Completeness of the deliverable
  • Clarity of communication
  • Honest limitations and next steps

Present it as a case study

  • Explain the problem, sources, decisions, ownership, constraints, output, review, and what you would change.
  • Show the final artifact before the process notes.
  • State what you owned and what belonged to other people.
  • Label the work as simulated, and keep any real contribution clearly separate.

Interview questions this project helps you answer

  1. A user says funds are missing. What evidence do you request and what do you never request?

  2. When should a case move to security, compliance, or engineering?

  3. How would you turn repeated tickets into a product recommendation?

Turn this into an application