Evidence the run may read
- Sanitized feedback records
- Approved taxonomy
- Customer segment and product context
production blueprint · customer support & success
Customer feedback clustering agent blueprint.
Group sanitized feedback by need, impact, and evidence strength without converting frequency into roadmap commitment.
Search intent: AI agent for customer feedback analysis
Published by a2a cloudProduct-source methodology →
01 · the contract
Start from a bounded job, not a blank chat box.
trigger
A scheduled feedback synthesis or product review begins.
owner
customer experience owner
agent stops at
Product and customer leaders approve interpretation and any external follow-up.
KPI · increase
feedback with reviewed theme (percent). Measure eligible feedback assigned to a human-approved theme.
outputs
Artifacts the run must produce
- Theme clusters
- Representative evidence set
- Questions and product review queue
02 · topology
Small specialists. Named handoffs. One accountable decision.
Each stage produces an artifact another stage can inspect. The final node is a person, not an autonomous write to an external system.
- 01
intake
Validate and normalize the customer feedback clustering inputs.
- 02
feedback normalizer
Produce the theme clusters.
- 03
theme analyst
Produce the representative evidence set.
- 04
voice-of-customer reviewer
Challenge the customer feedback clustering result and prepare an approval packet.
- 05
customer experience owner
Product and customer leaders approve interpretation and any external follow-up.
intake→ validated input packet →feedback-normalizer
feedback-normalizer→ Theme clusters →theme-analyst
theme-analyst→ Representative evidence set →voice-of-customer-reviewer
voice-of-customer-reviewer→ approval packet with evidence references →human-approver
03 · authority
Grant the run only what this case needs.
Source material is read-only. Drafts land in a case-specific output path. Tools may read or propose; the human gate owns the external write.
case inputs
workspace/customer-success/customer-feedback-clustering/inputs/**Read only the evidence attached to this workflow instance.
case outputs
workspace/customer-success/customer-feedback-clustering/outputs/**Write drafts and evidence artifacts without modifying source records.
approved tools
customer-success:customer-feedback-clustering:read-or-proposeInvoke only tools explicitly granted for this run; external writes remain gated.
04 · implementation
A private, bounded starting manifest.
The blueprint starts private, caps its DAG, disables replanning, and exposes no public endpoint. Add only the tools and data adapters this workflow has approved.
a2a.yamlsafe starting point
name: customer-success-customer-feedback-clustering
version: 0.1.0
entrypoint: agent:BlueprintAgent
expose:
public: false
composition:
planning: deterministic_dag
max_nodes: 6
max_parallel: 1
max_replans: 005 · acceptance test
Pass only with evidence.
- 01
Evidence traceability
Every material conclusion cites an input artifact or a scoped tool result from this run.
- 02
Themes preserve representative evidence, segment context, and uncertainty; counts are not presented as demand forecasts.
Themes preserve representative evidence, segment context, and uncertainty; counts are not presented as demand forecasts.
- 03
Approval boundary
The run stops at a proposal and records the human decision before any external side effect.
failure containment
Stop small. Preserve the evidence.
Duplicate, low-context, or sensitive feedback cannot be normalized safely.
Containment: Return a partial result with unresolved items; do not broaden scope or perform an external write.
Operator: Attach the missing evidence, narrow the brief, or explicitly approve a new scoped run.
A required input or tool grant is unavailable.
Containment: Stop the affected branch and preserve completed artifacts in the case output workspace.
Operator: Grant only the missing resource or continue with that branch marked out of scope.
06 · proof
Sign the run facts. Keep money in the billing ledger.
Current platform receipts sign caller identity or classification, skill, bounded input evidence, verified grant IDs when present, outcome or result preview, and timing. Optional file, tool, artifact, handoff, evaluation, and review fields require separate instrumentation and are not populated by default. Price, fees, payouts, and later human approvals remain separate platform records.
The example uses only fields populated by the current platform sealing paths. It is illustrative, not a record of a real customer run.
ExecutionReceipt · selected fieldsEd25519 token
{
"receipt_id": "rcpt_01J...",
"schema_version": 1,
"agent_name": "customer-success-customer-feedback-clustering",
"caller": "user:workflow-owner",
"task_id": "case_customer_feedback_clustering",
"skill_name": "customer_feedback_clustering",
"input_hash": "4d7c...9a2f",
"grant_ids": [
"grt_case_inputs",
"grt_tool_propose"
],
"status": "ok",
"result_preview": "Output prepared: Theme clusters. Human decision remains separate.",
"elapsed_ms": 4218
}related blueprints
Keep the operating model consistent.
Customer Support & Success
Customer support ticket triage
Classify a customer issue, identify missing context, and route it with an evidence-backed urgency proposal.
Customer Support & Success
Support response draft
Draft a clear answer from approved knowledge and case evidence, with uncertainty and escalation stated explicitly.
Customer Support & Success
Refund request review
Compare a refund request with policy, transaction, usage, and prior-case evidence and prepare a decision packet.
put the pattern to work
Start private. Scope the authority. Require the decision.
Deploy the workflow as a bounded internal agent, verify its outputs and the receipt fields actually emitted, then expand only the scopes your acceptance test proves it needs.