/customer-research

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Multi-source research on a customer question, product topic, or account-related inquiry. Synthesizes findings from all available sources with clear attribution and confidence scoring.

Usage

/customer-research <question or topic>

Workflow

1. Parse the Research Request

Identify what type of research is needed:

• Customer question: Something a customer has asked that needs an answer (e.g., "Does our product support SSO with Okta?")
• Issue investigation: Background on a reported problem (e.g., "Has this bug been reported before? What's the known workaround?")
• Account context: History with a specific customer (e.g., "What did we tell Acme Corp last time they asked about this?")
• Topic research: General topic relevant to support work (e.g., "Best practices for webhook retry logic")

Before searching, clarify what you're actually trying to find:

• Is this a factual question with a definitive answer?
• Is this a contextual question requiring multiple perspectives?
• Is this an exploratory question where the scope is still being defined?
• Who is the audience for the answer (internal team, customer, leadership)?

2. Search Available Sources

Search systematically through the source tiers below, adapting to what is connected. Don't stop at the first result — cross-reference across sources.

Tier 1 — Official Internal Sources (highest confidence):

• ~~knowledge base (if connected): product docs, runbooks, FAQs, policy documents
• ~~cloud storage: internal documents, specs, guides, past research
• Product roadmap (internal-facing): feature timelines, priorities

Tier 2 — Organizational Context:

• ~~CRM notes: account notes, activity history, previous answers, opportunity details
• ~~support platform (if connected): previous resolutions, known issues, workarounds
• Meeting notes: previous discussions, decisions, commitments

Tier 3 — Team Communications:

• ~~chat: search for the topic in relevant channels; check if teammates have discussed or answered this before
• ~~email: search for previous correspondence on this topic
• Calendar notes: meeting agendas and post-meeting notes

Tier 4 — External Sources:

• Web search: official documentation, blog posts, community forums
• Public knowledge bases, help centers, release notes
• Third-party documentation: integration partners, complementary tools

Tier 5 — Inferred or Analogical (use when direct sources don't yield answers):

• Similar situations: how similar questions were handled before
• Analogous customers: what worked for comparable accounts
• General best practices: industry standards and norms

3. Synthesize Findings

Compile results into a structured research brief:

## Research: [Question/Topic]

### Answer
[Clear, direct answer to the question — lead with the bottom line]

**Confidence:** [High / Medium / Low]
[Explain what drives the confidence level]

### Key Findings

**From [Source 1]:**
- [Finding with specific detail]
- [Finding with specific detail]

**From [Source 2]:**
- [Finding with specific detail]

### Context & Nuance
[Any caveats, edge cases, or additional context that matters]

### Sources
1. [Source name/link] — [what it contributed]
2. [Source name/link] — [what it contributed]
3. [Source name/link] — [what it contributed]

### Gaps & Unknowns
- [What couldn't be confirmed]
- [What might need verification from a subject matter expert]

### Recommended Next Steps
- [Action if the answer needs to go to a customer]
- [Action if further research is needed]
- [Who to consult for verification if needed]

4. Handle Insufficient Sources

If no connected sources yield results:

• Perform web research on the topic
• Ask the user for internal context:

…