Use cases/Website + customer-facing

Refund Request

Extract order details and reasons through conversation.

The problem with refund forms

  • Customers don't have order numbers handy
  • Dropdown reasons don't capture real issues
  • No signal on customer frustration level
  • Missing context for preventing future refunds

How NativeForm fixes this

  • Conversation asks for order info naturally
  • Open-ended reason with AI categorization via Smart Fields
  • Sentiment detection flags escalation risk
  • Captures preference: refund vs. credit vs. exchange

Describe it. AI builds it.

Tell NativeForm what you need. It generates the right questions. When users struggle to answer, AI helps them go deeper to give you richer, more complete responses.

You say

"I need a refund request form for my e-commerce store"

NativeForm generates
  • What's your order number or email?
  • What went wrong with your order?
  • Would you prefer a refund, store credit, or exchange?
  • Can you share any photos of the issue?
  • Is there anything else we should know?

Smart Fields: insights, not just data

Define what you want to extract. AI reads each response and computes actionable fields: sentiment, urgency, categories, scores. No manual tagging, ever.

Sentiment

Prompt: Customer sentiment: calm, frustrated, angry

Response says

"This is the second time this happened, very disappointed"

frustrated
Churn risk

Prompt: Likelihood they'll leave: low, medium, high

Response says

"I've been a customer for 3 years but this might be it"

high

Checkbox data vs real insights

AI helps users articulate what they really mean. The result: responses you can actually act on.

Traditional refund form
Order: #45892
Item: Blue widget
Purchase date: Dec 28
Reason: Damaged
Details: Arrived cracked
Resolution wanted: Refund
NativeForm refund
Order: #45892
Item: Blue widget, $49.99
Purchase date: Dec 28
Reason: Item arrived damaged
Details: Box was crushed, widget cracked (photo attached)
Resolution wanted: Full refund to card
Sentiment: frustrated (Smart Field)
Churn risk: medium (Smart Field)

Now, act on it

This is where it all comes together. Smart Fields become triggers. Route urgent issues instantly. Alert the right team based on sentiment. Update your CRM with qualified leads. All automatic, all based on AI understanding.

Make
n8n
New refund request
Log to refunds sheet
If Sentiment = angryAI
Escalate to manager
If Churn risk = highAI
Alert customer success
If Reason = shippingAI
Route to logistics team

Works with 1000+ apps via Make, n8n, and Zapier

+ more

Ready to transform your refund request?

Request early access and tell us about your use case. We'll help you set up a form that actually works.

Request early access

The early access form is built with NativeForm.