Revisions

The revision system allows buyers to request changes or improvements to delivered results. Understanding how revisions work helps you provide excellent customer service and maintain high satisfaction rates.

Overview

When a buyer receives results from your AI Short, they may request revisions if the output doesn't fully meet their needs. This creates a collaborative process to ensure buyer satisfaction.

Revision states

Orders with revision requests progress through these states:

revision_requested

What it means – Buyer has asked for changes to the delivered results
What you see – Order appears in "Order Attention" with revision details
Your action – Review the request and decide whether to accept
Timeline – Consider responding within 24-48 hours

revision_delivered

What it means – Your single revision has been provided to the buyer
What you see – Revision timeline shows completion
Buyer action – Buyer reviews revised results
Next steps – Order completes after 7-day review period (no further revisions allowed)

Revision timeline

The order detail page shows a simple timeline of revision activity (limited to 1 revision):

Original delivery – Initial results sent to buyer
Revision request – Buyer explains what needs improvement
Revised results – Your single updated output delivered to buyer
Order completion – Order automatically completes after 7-day review period

Providing revisions

Review the request

Before starting work, carefully read the buyer's revision request:

Specific issues – What exactly needs to be changed
Expected outcomes – What the buyer wants to achieve
Scope of changes – How extensive the revisions need to be
Deadline expectations – Any time constraints mentioned

Revision workflow

Click "Provide Revision" – Access the revision interface
Upload improved results – Same format as original delivery
Add revision notes – Explain what you changed and why
Submit revision – Deliver updated results to buyer

Revision best practices

Address specific feedback – Focus on the exact issues raised
Maintain quality standards – Don't compromise overall quality
Document changes – Clear revision notes help buyer understand improvements
Test thoroughly – Verify revisions actually fix the issues

Types of revision requests

Quality improvements

Common requests – More detailed analysis, better formatting, additional insights
Response approach – Enhance the depth and quality of your output
Example – "Can you provide more specific SEO recommendations?"

Formatting changes

Common requests – Different file format, layout adjustments, styling improvements
Response approach – Reformat results while maintaining content quality
Example – "Can you deliver this as an Excel file instead of CSV?"

Scope adjustments

Common requests – Focus on specific aspects, include additional data points
Response approach – Adjust analysis scope within reasonable bounds
Example – "Can you focus more on mobile SEO issues?"

Error corrections

Common requests – Fix incorrect data, resolve processing errors
Response approach – Identify and correct the underlying issue
Example – "The competitor analysis shows wrong pricing data"

Revision policies

What you should revise

Quality issues – Results that don't meet your stated standards
Processing errors – Technical problems that affected output
Scope misunderstandings – Legitimate interpretation differences
Format preferences – Reasonable output format changes

What you might decline

Scope expansion – Requests that significantly exceed your AI Short's description
Unreasonable demands – Changes that aren't technically feasible
Input-related issues – Problems caused by inadequate buyer inputs

Managing your single revision

Making the most of your revision

Address all feedback – Since you only get one revision, address all points thoroughly
Quality over speed – Take time to deliver a comprehensive revision
Communicate progress – Update buyer on complex revision work
Learn for next time – Use insights to improve future AI Short descriptions

Revision policy

Platform limit – Only 1 revision allowed per order
Set expectations – Clearly communicate revision limitations in AI Short descriptions
Quality focus – Prioritize getting results right the first time
Support available – Contact support for complex revision situations

Common revision scenarios

SEO audit revisions

Request – "Can you provide more specific mobile optimization recommendations?"
Response – Add detailed mobile SEO section with specific fixes
Notes – "Added comprehensive mobile optimization section with 12 specific recommendations"

Product research revisions

Request – "The competitor data seems outdated, can you refresh it?"
Response – Re-run analysis with current data sources
Notes – "Updated all competitor pricing with data from [current date]"

Content creation revisions

Request – "Can you make the tone more professional and less casual?"
Response – Rewrite content with adjusted tone and style
Notes – "Revised all copy to use professional business tone while maintaining readability"

Tips for revision success

Respond quickly – Acknowledge revision requests within 24 hours
Ask clarifying questions – If requests are unclear, ask for specifics
Set expectations – Communicate timeline for revision delivery
Document everything – Keep detailed notes on changes made
Learn and improve – Use revision feedback to enhance future outputs
Stay professional – Maintain positive communication throughout

Preventing revisions

Clear descriptions – Detailed AI Short descriptions reduce misunderstandings
Good examples – Portfolio images set proper expectations
Quality inputs – Validate buyer inputs to ensure good results
Thorough testing – Test your automation with various input types
Realistic ETAs – Accurate timing reduces rushed, lower-quality outputs

[SCREENSHOT HERE: Revision timeline and provide revision interface]