Richer Context for Faster
Ticket Resolution

When users run into a complex technical issue or a nuanced account problem, a plain text box is often their worst enemy. Customers struggle to find the right terminology to explain software bugs, leading to vague tickets and highly inefficient support interactions.

Standard help desk widgets are designed for the company, not the user. They present a tiny text box that discourages detailed explanations. When a user experiences a confusing issue—like a billing error or a UI glitch—forcing them to carefully type out a multi-step reproduction process is aggravating.

Consequently, customers submit incredibly sparse tickets. Support agents are then forced into investigative roles, repeatedly asking for context, browser versions, and screenshots over multiple days. This spikes resolution times, tanks customer satisfaction scores, and causes massive inbox bloat for the service team.

Sayify levels up the traditional help desk by offering a multi-modal support intake. By allowing customers to quickly record a voice note explaining their frustration, attach a screen recording or screenshot of the error, and categorize the issue via structured dropdowns, support teams receive comprehensive tickets that can often be resolved on the very first reply.

Sayify transforms the help desk widget into an intelligent, empathetic intake workflow. Giving users the option to speak their problem aloud instantly reduces their frustration—it's faster, easier, and feels more like talking to a real human. Voice captures the severity of the issue and allows users to explain exactly what they clicked without needing specialized technical vocabulary.

Crucially, Sayify pairs this with structured diagnostic fields. The workflow guides the user to automatically supply the missing data: selecting the product area from a dropdown, rating the urgency, and uploading a screenshot of the error message. This combination of human nuance and structured technical data gives support agents a complete snapshot of the problem the moment the ticket is generated.

1. Dropdown choice: Ask the user to select the general category (e.g., Billing, Bug, Account Access)
2. Voice note: Ask them to explain the issue in detail
3. File upload: specifically designated for a screenshot or screen recording of the error
4. Text input: Ask for their account email or user ID to locate their profile
5. Conditional logic: If the category was "Billing", ask a follow-up text question for the invoice number
6. Success screen: Confirm submission and set expectations for response time

• Voice Recording: Reduces user frustration by allowing them to quickly narrate complex issues without typing.
• File Upload: Essential for capturing visual proof, error logs, or screenshots of the bug.
• Dropdown / Options: Forces the user to categorize their ticket, enabling automatic internal routing.
• Hidden Fields: Automatically captures browser data, OS type, or user session IDs if embedded securely.

• B2B SaaS and software companies
• IT help desks and internal technical support
• High-volume service businesses

Sayify's AI instantly transcribes the spoken issue and evaluates the sentiment. This data is seamlessly pushed into the company's ticketing system—such as Zendesk, Jira, or Freshdesk—via webhook.

Because the ticket is pre-categorized by the dropdown selection, it bypasses top-level triage and goes straight to the correct specialized department. The support agent opens the ticket to find a clear AI summary of the issue, a screenshot of the exact error, and the user's account details. The agent can immediately investigate and send a precise, accurate solution in their very first reply.

• Drastically higher First Contact Resolution (FCR) rates
• Reduced ticket triage and manual routing time
• Less customer frustration during the intake process
• Richer diagnostic data captured effortlessly