Bugs Arrive Already Solved.

Two ways in. Agents send a recording link from their helpdesk, customer records in 2 minutes. Or customers self-report through an in-app feedback widget with video, screenshots, and narration. Either way, Sniffer AI generates repro steps, root cause, and a suggested fix. Agent escalates with the full answer without ever being technical.

Lower cost per ticket. Higher CSAT. Fewer bouncebacks.

No install for customers. Works inside your helpdesk. 14-day free trial.

1

🎧 Agent

One click inside the ticket sidebar. Link auto-generates and copies to clipboard.

2

👤 Customer

No download, no extension. Customer clicks the link, records, and submits. Takes 2 minutes.

3

🤖 Sniffer AI

Repro steps, root cause, suggested code fix. Console + network auto-attached.

4

🎧 Agent

One-click Jira/Asana ticket. Engineering gets video, AI analysis, and device info. No back-and-forth.

Bug resolved on first escalation.

Customer never had to explain twice. Agent never needed to be technical.

⏱️

5 min

Average Escalation Time

From first message to Jira ticket

💰

Lower

Cost Per Ticket

Fewer follow-ups, fewer re-opens

😊

Higher

Customer Satisfaction

Resolved faster, less friction

🔁

Fewer

Escalation Bouncebacks

Engineering gets the answer first time

Watch: Agent handles a bug report in 5 minutes

Recording link + feedback widget → customer captures the bug → AI report auto-attaches → one-click escalate to Jira

Agent-Initiated or Customer-Initiated. Same Result.

Whether the agent sends a link or the customer self-reports through the widget, every issue gets the same AI analysis: repro steps, root cause, and suggested fix.

📹

Agent Sends a Link

Customer says “checkout is broken.” Agent clicks “Request Recording” in Zendesk. Customer clicks the link, records their screen in the browser. No install, no extension.

1.
Agent clicks "Request Recording" in helpdesk
2.
Customer gets a link, records in browser
3.
AI report auto-attaches to the ticket
Best for:
Reactive support - customer already contacted you
💬

Customer Reports Directly

A small widget lives inside your app. Customer hits the feedback button, captures a screenshot or recording, and describes the issue. The agent does nothing until the AI report arrives in their helpdesk, fully packaged.

1.
Customer clicks feedback button in your app
2.
Screenshots, records, or describes the bug
3.
AI report arrives in helpdesk, agent takes over
Best for:
Proactive capture - customer reports before contacting support
🤖 Both paths converge here: AI generates repro steps, identifies root cause, suggests a fix. The agent sees the same rich report regardless of how the bug was captured.

Sound Familiar?

"Can you describe what happened?"

Agent asks 5 follow-up questions over 3 messages. Customer gets frustrated and churns. Average time: 45 minutes just gathering context.

Agent sends a recording link. Customer records in 2 minutes. AI generates the full report. Total agent time: under 5 minutes.

"Engineering bounced it back. Again."

Escalation says “checkout is broken.” Engineering can’t reproduce. Ticket bounces back. Customer waits another week.

Escalation includes video, numbered repro steps, the root cause, and a suggested fix. Engineering resolves it on first look.

"Is this a known issue or just this customer?"

Every ticket looks isolated. No way to tell if 1 or 100 customers are hitting the same bug. Critical issues hide in the queue.

Smart Error Grouping shows “23 other customers reported this same issue.” Agent instantly knows the priority and scope.

"The customer already reported this, I just didn't know"

Customer submitted a bug through the app last week. Agent never saw it because it went to a spreadsheet. Now the customer is on live chat, repeating everything from scratch.

Every report — whether from the feedback widget, recording link, or auto-detection — arrives in the helpdesk as a complete AI-analyzed ticket. Nothing falls through the cracks.

How an Agent Handles a Bug Report

No technical knowledge required. The agent stays in their helpdesk the entire time. Sniffer handles the technical capture and AI analysis in the background.

Customer says "checkout is broken"

Instead of asking follow-up questions, agent clicks “Request Recording” in the Sniffer sidebar inside their helpdesk. A single-use recording link is generated and sent to the customer automatically.

10:02 AM · 15 seconds

Or: Customer reports via feedback widget

Customer hits the feedback button inside your app, records their screen or takes a screenshot, and describes the bug. Console logs and device info are auto-captured. AI report arrives in the agent’s helpdesk without the agent doing anything. Agent picks up at step 4.

Alternative path · Agent effort: 0 min until report arrives

AI processes the recording

Video is analyzed. Console errors, network failures, and device info are auto-captured alongside the recording. AI generates numbered reproduction steps, identifies the root cause, suggests a code fix.

10:05 AM · 30 seconds

Agent reviews and escalates with one click

Recording appears in the ticket with the full AI analysis. Agent can watch the video, review the repro steps, see the root cause, and escalate to Jira or Asana with one click. The entire technical context travels with the ticket automatically.

10:06 AM · 1 minute

Replies to the customer with confidence

“We’ve identified the issue and escalated it to our engineering team with a full report. You should see a fix shortly.” Customer is happy. Agent moves to the next ticket. Total time: 5 minutes.

10:07 AM · Total: 5 minutes from first message to resolution

One Link. Full Technical Context. Zero Effort for the Agent.

Agent clicks a button in their helpdesk. Customer gets a link. They record their screen in the browser. No install, no extension, no account. Video arrives with console logs, network errors, and device info automatically attached. The agent never touches any of that.

Browser-native recording, no customer install
Optional mic narration for customer context
Single-use, auto-expiring (24h / 7d / 30d)
Customer blur tool for sensitive data (PII safe)
Auto-translate: customer speaks Spanish, agent reads English

Ticket: Checkout not working

#4821

Hi, I tried to checkout but the page just goes white after I click pay. Please help!

Hi Sarah! I’ve sent you a quick recording link so we can see exactly what’s happening on your end. Just click the link, record your screen, and submit. Takes about 2 minutes!

Customer Reports the Bug. Agent Does Nothing Until It's Packaged.

Embed a small feedback button in your app. When a customer hits a bug, they click it take a screenshot, record their screen, or describe the issue. Sniffer auto-captures console logs, network errors, and device info. AI generates the full report and delivers it to your helpdesk. The agent’s first interaction with this bug is reading the finished AI analysis.

Customer-initiated: screenshot, recording, or text description
Console + network logs auto-captured in background
AI report delivered to Zendesk / Intercom / HubSpot
Device info, browser, OS, screen size auto-attached
Customer blur tool for sensitive data (PII safe)
Agent effort: zero until the report arrives

Report an Issue

Take Screenshot

Record Screen

Describe the issue

The checkout page goes blank when I…

Widget appears as a floating button in your app

Agent Escalates With the Full Answer

The agent doesn’t need to understand what “TypeError at checkout.js:142” means. They just see the AI report, hit “Escalate to Jira,” and the entire analysis travels with the ticket. Engineering gets the root cause, reproduction steps, and suggested fix on the first look. No back-and-forth. No bounceback.

Numbered repro steps from video + console + network
Root cause + suggested fix (agent doesn't need to understand it)
One-click escalate to Jira, Asana, Azure DevOps
Editable by agent before sending

AI Analysis Report

Reproduction Steps

1

Navigate to /checkout

2

Click “Pay Now” button

3

Page shows blank white screen

Root Cause

TypeError at checkout.js:142

Suggested Fix

Add null check before payment initialization

Agents Never Leave Their Helpdesk

The entire workflow happens inside Zendesk, Intercom, HubSpot, or Freshdesk. Request a recording, watch the video, review the AI report, and escalate to engineering without switching tools.

"Request Recording" button in the ticket sidebar
Recording + AI report auto-attach to the ticket
Watch video and AI report inline in the ticket
One-click escalate to Jira/Asana from the ticket
Z

“Request Recording” in ticket sidebar

I

Send link from live conversation

H

Attach to Service Hub tickets

F

Request recording from ticket view

"23 Other Customers Reported This Same Issue"

When an agent opens a ticket, Sniffer shows a banner if other customers have reported the same bug. The agent immediately knows the scope and can tell the customer “we’re aware of this and our team is on it.” Support managers see Trending Issues ranked by customer impact.

In-ticket banner: "23 others hit this issue"
Trending Issues dashboard for support managers
Auto-link related tickets together
Priority escalation when threshold is hit
⚠️

23 other customers reported this same issue

TypeError on /checkout · First seen 3 days ago · Trending ↑

Trending Issues This Week

🔥 23

Checkout TypeError

↑ Critical

12

Payment API 502

↑ High

5

Safari Filter Bug

Medium

Quick Answers for Support Leaders

Do customers need to install anything?

No. The recording link opens in the browser. No extension, no download, no account. Customer clicks, records, submits.

Which helpdesks does Sniffer integrate with?

Zendesk, Intercom, HubSpot, and Freshdesk. The “Request Recording” button appears directly in the ticket sidebar.

How long are recordings stored?

Configurable: 30, 60, or 90 days. Enterprise customers can set custom retention. Any recording can be deleted at any time.

What about sensitive customer data?

Customers can blur sensitive areas before submitting. Console logs auto-redact credit card numbers and SSNs. All data encrypted in transit and at rest.

What's the difference between the recording link and the feedback widget?

The recording link is agent-initiated: the agent sends a link and the customer records. The feedback widget is customer-initiated: it lives inside your app and customers can report bugs anytime without contacting support first. Both paths produce the same AI analysis. Use recording links for reactive support and the widget for proactive bug capture.

Does the agent need technical knowledge?

No. The agent sends a link, reviews the AI-generated report (written in plain language), and escalates with one click. Sniffer handles all the technical capture.

Lower Cost. Happier Customers.
Empowered Agents.

14-day free trial. No credit card. Your agents will thank you.