Customer Research
This skill conducts multi-source research on customer questions, product topics, or account-related inquiries. It synthesizes findings from available sources,...
Install
npx promptshop add customer-researchDetails
What This Skill Does
This skill conducts multi-source research on customer questions, product topics, or account-related inquiries. It synthesizes findings from available sources, providing clear attribution and confidence scoring. It's designed for customer support and success teams.
When to Use
- Answer a customer's question with researched information.
- Investigate a reported issue and find existing workarounds.
- Gather context on a specific customer account.
- Research best practices for a support-related topic.
- Prepare for a customer call with relevant background information.
Key Features
- Parses research requests to determine the type of inquiry.
- Systematically searches through internal and external sources.
- Cross-references information across multiple sources.
- Provides clear attribution for all findings.
- Scores the confidence level of each piece of information.
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
[Source name/link] — [what it contributed] [Source name/link] — [what it contributed] [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:
- "I couldn't find this in connected sources. Do you have internal docs or knowledge base articles about this?"
- "Has your team discussed this topic before? Any ~~chat channels I should check?"
- "Is there a subject matter expert who would know the answer?" Be transparent about limitations:
- "This answer is based on web research only — please verify against your internal documentation before sharing with the customer."
- "I found a possible answer but couldn't confirm it from an authoritative internal source."
5. Customer-Facing Considerations
If the research is to answer a customer question:
Flag if the answer involves product roadmap, pricing, legal, or security topics that may need review Note if the answer differs from what may have been communicated previously Suggest appropriate caveats for the customer-facing response Offer to draft the customer response: "Want me to draft a response to the customer based on these findings?"
6. Knowledge Capture
After research is complete, suggest capturing the knowledge:
"Should I save these findings to your knowledge base for future reference?" "Want me to create a FAQ entry based on this research?" "This might be worth documenting — should I draft a runbook entry?"
This helps build institutional knowledge and reduces duplicate research effort across the team.
Source Prioritization and Confidence
Confidence by Source Tier
| Tier | Source Type | Confidence | Notes |
|---|---|---|---|
| 1 | Official internal docs, KB, policies | High | Trust unless clearly outdated — check dates |
| 2 | CRM, support tickets, meeting notes | Medium-High | May be subjective or incomplete |
| 3 | Chat, email, calendar notes | Medium | Informal, may be out of context or speculative |
| 4 | Web, forums, third-party docs | Low-Medium | May not reflect your specific situation |
| 5 | Inference, analogies, best practices | Low | Clearly flag as inference, not fact |
Confidence Levels
Always assign and communicate a confidence level:
High Confidence: Answer confirmed by official documentation or authoritative source Multiple sources corroborate the same answer Information is current (verified within a reasonable timeframe) "I'm confident this is accurate based on [source]."
Medium Confidence: Answer found in informal sources (chat, email) but not official docs Single source without corroboration Information may be slightly outdated but likely still valid "Based on [source], this appears to be the case, but I'd recommend confirming with [team/person]."
Low Confidence: Answer is inferred from related information Sources are outdated or potentially unreliable Contradictory information found across sources "I wasn't able to find a definitive answer. Based on [context], my best assessment is [answer], but this should be verified before sharing with the customer."
Unable to Determine: No relevant information found in any source Question requires specialized knowledge not available in sources "I couldn't find information about this. I recommend reaching out to [suggested expert/team] for a definitive answer."
Handling Contradictions
When sources disagree: Note the contradiction explicitly Identify which source is more authoritative or