SOLUTIONS FOR CUSTOMER SUPPORT

Support teams resolve issues faster—with context and intelligence

From smart ticket creation to knowledge mining, build intelligent support workflows that categorize automatically, route by priority, and surface solutions from past tickets—all without developer help.

WHY SUPPORT TEAMS CHOOSE altx

Resolve faster. With full context.

Context-Aware Tickets

Issue type triggers specific diagnostic questions, screenshots auto-attach with annotations, similar tickets surface instantly with cited solutions.

Smart Priority Routing

Sentiment analysis detects frustration, keywords identify critical issues, SLA rules route high-priority tickets automatically with escalation triggers.

Knowledge Mining

Ask "What fixes login timeouts?" and get ranked solutions from past tickets with citations, resolution rates, and customer feedback.

SEE IT IN ACTION

Real support workflows. Real resolution speed.

See how support teams use altx forms to capture better context, route intelligently, and resolve issues faster with knowledge from past tickets.

Context-Rich Support Tickets

Challenge: Customers provide vague descriptions, missing critical details, back-and-forth clarifications waste time.

Issue type (Login, Billing, Feature) shows specific diagnostic questions, "Login" asks for browser/OS/error message, screenshot upload auto-analyzes for error codes, sentiment analysis detects urgent tone and auto-escalates, similar tickets surface with "Did this help?"

60%

fewer clarification requests

Dynamic questionsSentiment analysisSimilar tickets

Feature Requests & Voting

Challenge: Feature requests scattered across channels, no voting mechanism, can't prioritize by customer demand.

Customers describe feature with use case, similar existing requests shown for upvoting instead of duplicates, analytics rank by votes and customer tier (Enterprise customers weighted higher), product team sees demand signals with quoted customer justifications and conversion impact estimates.

10x

better feature prioritization

Duplicate detectionVoting systemDemand analytics

Detailed Bug Reports

Challenge: Bug reports lack reproduction steps, screenshots missing, developers can't replicate to fix.

Form requires: what happened, what should happen, steps to reproduce (repeating section), screenshot/video upload with annotation tools, browser/OS auto-detected, console logs uploadable, severity auto-suggests based on keywords ("can't login" = Critical), routes to dev team with complete diagnostic package.

75%

faster bug reproduction

Guided structureScreenshot annotationSeverity scoring

Returns & RMA Workflows

Challenge: Return requests unclear, eligibility unknown, refund/exchange decisions manual, tracking lost.

Order number validates purchase date and return window eligibility, reason selection ("Defective" vs "Changed mind") determines return policy and restocking fee, photo upload required for damage claims, shipping label auto-generated, refund/exchange/store credit options based on policy, status tracking with customer notifications.

50%

reduction in return processing time

Eligibility validationPolicy checkingDashboard tracking

Service & Maintenance Requests

Challenge: Service requests vague, scheduling conflicts, technician dispatch inefficient, customer expectations unclear.

Service type (Installation, Repair, Maintenance) shows specific requirements, location/address validation, preferred time slots with availability checking, photo upload for damage assessment, warranty lookup auto-checks coverage, technician assigned based on location and expertise, SMS updates on arrival time.

40%

fewer missed appointments

Time slot selectionTech assignment fieldConfirmation e-signature

Post-Interaction CSAT Surveys

Challenge: Low CSAT response rates, negative feedback doesn't trigger follow-up, no pattern recognition across issues.

Rating 1-2 triggers "What went wrong?" and escalates to support manager immediately, rating 4-5 asks for review/testimonial, response sentiment analyzed for themes, analytics show CSAT by agent, issue type, product area with cited customer quotes, trend detection alerts on degrading scores.

35%

CSAT improvement in 3 months

Adaptive questionsPriority flaggingRAG trend detection

Intelligent Escalations

Challenge: Escalations happen too late, context lost in handoff, senior support lacks visibility into issue history.

Agent fills escalation reason, impact assessment (revenue/customer risk), original ticket context auto-attached, sentiment score and customer tier visible, escalation SLA starts immediately, senior agent gets full history with timeline, resolution tracked with "What fixed it?" for knowledge base.

2 hours

average escalation response time

Context fieldsSLA timer formulaResolution capture

Agent Knowledge Contributions

Challenge: Agents solve issues but don't document, knowledge base outdated, new agents repeat same research.

After ticket resolution, agent prompted to contribute: "Did you find a new solution?", guided template for Problem-Solution-Steps format, similar KB articles surface to prevent duplicates, manager approves before publishing, contribution tracked for gamification, search analytics show which articles prevent tickets.

5x

more KB contributions

Guided templatesDuplicate preventionImpact tracking

Account Change Requests

Challenge: Account changes require identity verification, fraud risk, inconsistent approval processes across change types.

Change type (Email, Password, Payment Method, Plan) triggers specific verification steps, high-risk changes (payment method) require two-factor auth confirmation, verification questions from account history, change history visible with audit trail, critical changes (ownership transfer) require manager approval and e-signature.

Zero

fraud-related account changes

Risk-based questionsVerification fieldsAudit trails

Cancellation & Retention Surveys

Challenge: Customers cancel without feedback, retention offers inconsistent, patterns in churn reasons missed.

Cancellation reason selection ("Too expensive", "Missing features", "Switching to competitor") triggers targeted offers: pricing complaint gets discount code, missing features shows roadmap and collects votes, competitor switch asks "What do they have that we don't?", analytics rank churn drivers with customer quotes and win-back success rates.

25%

reduction in churn rate

Reason-based fieldsOffer trackingRAG churn analytics
CUSTOMER SUPPORT FEATURES

Everything support needs. Nothing complicated.

Auto-categorization

AI categorizes tickets by issue type, product area, urgency—no manual tagging.

Smart Priority Scoring

Sentiment, keywords, customer tier auto-calculate priority and route accordingly.

SLA Tracking

Response and resolution SLAs enforced with reminders and escalations.

Knowledge Suggestions

Similar tickets and KB articles surface automatically with resolution success rates.

Sentiment Analysis

Detect frustration, urgency, satisfaction—auto-escalate upset customers.

Intelligent Routing

Route by issue type, product expertise, workload, language—no manual assignment.

Smart Templates

Suggested response templates based on issue type with personalization fields.

Support Analytics

Ask "What are top cancellation reasons?" and get ranked answers with citations.

Ready to transform your support operations?

Start building intelligent support workflows that capture better context, route smartly, and resolve faster—with knowledge from every past ticket.

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