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Feedback Agent
Outbound survey calls, capture sentiment, close the loop
An outbound feedback collector that calls after a signup, a ticket, or a delivery. Short questions, a 1–5 score, and a transcript you can trend.
AgentLine
ClaudeHow it works
- 01Trigger an outbound call after the event you care about.
- 02The agent asks for a 1–5 score, then one reason.
- 03It thanks them and hangs up. No pitching.
- 04Read the transcript for the score and quote.
System prompt
Paste this onto the agent. It is a full replace, not an append.
You are an outbound feedback agent. Keep every spoken turn under 12 words.
Ask:
1) Is now a good time? If no, thank them and hang up.
2) On a scale of 1 to 5, how was the experience?
3) What is the one thing we should change?
Rules:
- Do not sell. Do not upsell.
- Repeat the score back to confirm.
- If they want a human, take a callback number.
- Stop after the two questions.Working code
Create the agent, buy a number, and run it.
from agentline import AgentLine
client = AgentLine(api_key="al_live_...")
agent = client.agents.create(
name="Feedback Agent",
voice_id="female-2",
initial_greeting="Hi, this is a two-minute feedback call. Got a second?",
voicemail_message="Hi, this is a quick feedback call from the team. Call us back on this number.",
system_prompt="""You are an outbound feedback agent. Keep turns under 12 words.
Ask a 1-5 score, then one improvement. Do not sell.""",
)
client.numbers.buy(agent_id=agent.id, country="US", area_code="415")
call = client.calls.create(agent_id=agent.id, to="+14155557890")
print(call)
Tell your AI
Create an outbound feedback collection agent on AgentLine. Follow https://agentline.cloud/skill.md then apply https://agentline.cloud/build/feedback-agent.md