A bug report form that captures
reproduction steps the first time

Ask someone to describe a bug in a text box and you get "it doesn't work on checkout." Not because they are being unhelpful, but because writing out a reproduction sequence is genuinely tedious, and most people do not know which details you need. Browser version, account, what they clicked third: none of that feels relevant to them.

So the report arrives thin, and an engineer or an agent spends the next two days asking for it piece by piece. Each round trip costs a day, the user gets more annoyed with every reply, and the bug sits unreproduced in the backlog the whole time.

The measured gap is large. Across B2B intake workflows, voice captures 3-5x more data than typed answers. In support triage, 47% of voice bug reports included reproduction steps versus 12% for text.

Sayify gives the person reporting the bug a faster way to explain it: record the screen while talking through what happened. Showing takes fifteen seconds. Writing it out takes five minutes that most people will not spend.

The AI then does the part the reporter was never going to do. It transcribes the recording, pulls the reproduction steps out into a numbered list, judges severity from what was said and how it was said, and attaches the structured fields the form collected alongside it.

Sayify is the intake step, not a replacement for your help desk or issue tracker. Your team keeps working in Jira, Zendesk, Linear or whatever it already uses. What changes is the quality of what lands there.

1. Dropdown choice: which area is affected (billing, bug, account access, something else)
2. Screen recording or video: show the problem happening
3. Voice note: talk through what you expected and what happened instead
4. File upload: screenshots, error logs or an exported console trace
5. Text input: account email or user ID, so the case links to a real customer
6. Conditional logic: if the area is billing, ask for the invoice number
7. Success screen: confirm the report and set a response expectation

• Screen recording: the single highest-value field on a bug report form. It removes the guesswork about what the user actually did.
• Voice recording: lets people narrate the problem without hunting for the right technical words.
• File upload: screenshots, error logs and exported traces attached to the same case.
• Dropdown / options: categorizes the report so it routes to the right team automatically.
• Hidden fields: capture browser, OS and session ID from the embed, so nobody has to ask.

• B2B SaaS and software companies
• Product and QA teams collecting reports from beta users or customers
• IT help desks and internal technical support
• Agencies running bug intake on behalf of client sites

Sayify transcribes the recording, summarizes the issue, extracts the reproduction steps and scores severity. Then the case is handed off to the tools your team already works in:

• Jira: create the issue with the summary, numbered reproduction steps and extracted fields in the description, and the recording linked.
• Slack: post high-severity reports to the channel that owns that area, so someone sees it within minutes.
• Zendesk: open or update the ticket against the customer record, with the evidence attached.

Anything else connects through Zapier or a webhook with the same structured payload. Because the report is already categorized, it skips the first-pass sorting queue and lands with the team that owns it. The engineer opens a case with a clear summary, a video of the failure and the account details, and can usually reproduce it on the first try.

• More reports arrive with reproduction steps attached
• Fewer round trips between the reporter and the team
• Less manual sorting before a report reaches its owner
• A clean written record on every issue, without asking the user to write it