Example scenario, not a customer claimMetric to measureResolved product questions Metric to measureFirst response time Metric to measureFallback topics
E-commerce Example Scenario
How an e-commerce support team can answer repeated questions faster.
This example shows how a commerce support team can structure a FAQ Assistant and Product Advisor workflow using approved knowledge, handoff, and performance metrics.
ProblemProduct AdvisorOutcome
Product dataFAQ knowledgeSelected channelHuman handoff
What this workflow should measure.
Resolved product questions
Track how many repeated product or policy questions are answered.
placeholder - Defined during pilotFirst response time
Track how quickly customers receive a useful first response.
placeholder - Defined during pilotHandoff rate
Track when the workflow escalates to a human.
placeholder - Defined during pilotWorkflow profile
The context behind the workflow.
- Customer type
- E-commerce support team
- Industry
- Commerce and retail
- Use case
- Product questions and support FAQs
- Templates used
- FAQ Assistant, Product Advisor
- Channels to evaluate
- Web chat, WhatsApp, Instagram, email
- Knowledge needed
- Product FAQs, catalog data, shipping policy, return policy
- Metrics to track
- Resolved questions, handoff rate, fallback topics
The challenge
Support teams often answer the same product questions across channels.
In commerce workflows, customers frequently ask about product fit, sizing, availability, shipping, returns, comparisons, and recommendations. When every question requires manual support, response times slow down and support teams lose time on repeated work.
Why Trigz
Why start with support FAQs and product guidance.
FAQ Assistant and Product Advisor give the team a focused way to answer repeated product and policy questions, guide shoppers, and hand off complex cases with context.
The solution
Trigz structures support and product guidance into one measurable workflow.
The team configures FAQ Assistant for repeated policy and product questions, adds Product Advisor for guided recommendations, connects approved knowledge, and defines support handoff when the shopper needs human help.
Answers repeated shipping, return, product, and policy questions.
Guides shoppers toward relevant products.
Product FAQs, catalog data, shipping policy, and return policy.
Routes complex or high-value cases to support.
Tracks fallback topics, handoff, and product engagement.
Workflow architecture
How the support workflow works.
The workflow connects customer questions to approved knowledge, product guidance, human handoff, and knowledge improvement.
Implementation journey
From repeated support questions to a measured pilot.
Select one customer channel
The team starts with the channel where repeated questions are easiest to observe.
Prepare product FAQs and policies
Product, shipping, and return knowledge are reviewed before launch.
Configure FAQ Assistant
Repeated questions are mapped to approved answers.
Configure Product Advisor
One product category is used for guided recommendations.
Add fallback and support handoff
Complex or missing-knowledge cases route to support.
Test common and edge cases
The team tests vague questions, sensitive topics, and handoff scenarios.
Review handoff and missing knowledge
Fallback topics become the improvement queue.
Results and impact
Expected impact areas for this workflow.
Because this is an example scenario, the public page shows expected measurement areas instead of fake results.
Control and handoff
Where support should stay involved.
The workflow should route to a person when product knowledge is missing, the request is sensitive, or the customer needs reassurance.
Handoff triggers
- Refund or payment issue
- Unavailable product
- High-value customer
- Customer frustration
- Missing product data
- Complex comparison request
Context captured
- Customer question
- Products discussed
- Policy referenced
- Recommendation shown
- Missing details
- Suggested next step
Lessons learned
What this workflow can reveal.
Start with repeated FAQs
Repeated questions make it easier to test accuracy and value.
Keep policy knowledge clean
Shipping and return policy quality affects answer trust.
Product guidance needs structure
Recommendations improve when product data is clean and scoped.
Fallback topics guide improvements
Missing questions show what content to add next.
What powered the workflow
Templates, channels, and knowledge used in this scenario.
Channels
Web chatWhatsAppInstagramEmail
Knowledge
Product FAQsCatalog dataShipping policyReturn policy
Actions
Answer questionRecommend productRoute to supportCapture handoff context
Integrations
Commerce catalogMessaging channelSupport handoff
Some integrations or workflow actions may require setup review depending on plan and implementation scope.
Customer quote pending approval.
Once approved, this section can include a customer quote connected to support workload, product guidance, or shopper experience.
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