Who this is for
Support reps and CS who need to translate emotional, rambling customer reports into clear tickets engineering can act on.
The moment this saves you
A frustrated customer explains a bug in a confusing flood of detail, I summarize it badly into the ticket, and engineering bounces it back asking the same questions the customer already answered.
See it work
Messy spoken thought in. A clean, structured artifact out.
Logging a support issue from a customer call. The customer, they're on the enterprise plan, said their team can't log in since this morning, they're getting an error that says session expired immediately after logging in, so it loops. It's affecting their whole team, like 40 people, so it's high impact and they're pretty upset. It started after we did a deploy last night apparently. They're on Chrome mostly. They've tried clearing cookies, didn't help. This is blocking their whole team from working so it's urgent. The customer's name is the account at Vertex Solutions.
Support issue: Login loop, Vertex Solutions, June 5, 2026
- Severity: High (blocks ~40 users, whole team)
- Plan: Enterprise
- Issue: Users get "session expired" immediately after logging in, creating a login loop
- Started: This morning, reportedly after last night's deploy
- Environment: Chrome (mostly)
- Already tried: Clearing cookies (no effect)
- Customer sentiment: Upset, blocking all work, urgent
The workflow
Record a voice note
Hit the hotkey and talk, no formatting, no typing.
Tag it with this context
Contextli shapes your words into the structured output above.
Find it later
Everything's searchable and organised by context.
Pull it into Claude or ChatGPT
Bring your contexts straight into your AI tools with the Contextli MCP.
Your raw recording and transcription stay on your device, so you can always go back to the original.
The prompt behind this context
I'm going to relay a support issue a customer reported. Turn it into a clean ticket: a bold "Support issue: [short title], [account], [today's date]" heading, then labeled lines: Severity (infer from impact), Plan (if mentioned), Issue (the precise problem), Started (when, and any suspected cause), Environment (browser/device if given), Already tried (what the customer attempted), and Customer sentiment. Keep the customer's factual details exactly; strip the emotional noise into a single sentiment line. Don't invent repro steps or impact. Output only the ticket.
Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.
Use this context
One click copies it and shows you exactly how to drop it into Contextli.
Next, open Contextli, go to the Contexts page, click Import, choose From JSON, paste, then Import Context. It is ready to use.
Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.
Your raw recording and transcription stay on your device, so you can always go back to the original.
Related contexts
Product Bug Report
You just watched something break mid-demo. Don't lose the repro hunting for the tracker. Mutter what happened, what you clicked, what you expected, and walk away with a report engineering can actually act on.
Post-Call Debrief
You hang up and the next call's already ringing. Take twenty seconds to debrief out loud while it's fresh, the real objection, the budget hint, who actually decides, and it lands as a CRM note with next steps, not a vague one-liner.
Feature Request
A customer asks for something and it lands in your head as a vague 'they want X.' Say what they actually asked and the problem underneath. You get a brief with the real user problem, not just the feature, so the backlog reflects needs instead of demands.
Questions people ask
Questions customer support ask about Support Issue Note
What should a support ticket include?
A good support ticket includes a clear title, steps to reproduce the issue, the expected behavior, the actual behavior observed, the severity or priority, and the environment details such as OS, browser, and app version. The Support Issue Note context structures your spoken description into these fields automatically, so nothing gets left out when you are in the middle of debugging.
How do I write a support ticket in under a minute?
Speak what you found: describe the issue, what you expected, what actually happened, and how bad it is. The Support Issue Note context structures your words into a complete support ticket you can paste directly into Jira, Linear, or GitHub Issues. Most take under 60 seconds to dictate, so you capture them without breaking your flow.
How do developers capture issues without interrupting their flow?
The key is to capture the issue immediately without switching context mentally. Contextli lets you speak a quick voice note describing it and produces a support ticket from it. You can dictate while the issue is still on screen, then paste the formatted output into Jira, Linear, or GitHub Issues when you come up for air. No typing is required during the capture step.
Can I write a support ticket by talking instead of typing?
Yes. The Support Issue Note context lets you speak a description in plain language and converts it into a structured support ticket with all the required fields filled. You speak the way you would explain it to a colleague, and the context handles the formatting.
How do I add this context to Contextli?
Copy the context on this page, then open Contextli and go to the Contexts page. Click Import, choose From JSON, paste it into the Import from Clipboard window, and click Import Context. It is ready to use in under 30 seconds. If you do not have Contextli yet, you can download it for free first.
Is my voice recording private? Does Contextli send it anywhere?
Your voice recording and the transcription are stored on your device only. Contextli processes your audio locally and does not send your recordings or transcription text to any server. The structured output it produces is text you control, and you decide where it goes.
Can I change what the output looks like?
Yes. Every context in Contextli is a starting point you can edit. Open the context in the app, change the instructions to adjust the structure, tone, or fields, and save. The next time you use it, the output reflects your changes. You are not locked into the default format.
Do I need to install an app to use this context?
Yes. Contextli is a free app. Download it, then copy this context and paste it into the Import from Clipboard window on the Contexts page. The whole process takes about 30 seconds.