Login to the feedback application

You have received an email with your login credentials. These are unique to you
and should not be shared with anyone else in the organization.

The application is behind a Google firewall. To access the application you need to sign in via Google with the provided credentials:

  1. First open the feedback portal (via this link)

  2. Enter email address (the one provided to you “feedback _user…@iconic.works”)→ click Next

  3. Enter password (the one provided to you)→ click Next

Note: If you receive an “access is blocked” message, you are likely signed in with another Google account. Please go to https://accounts.google.com and switch to the account we provided using the top-right account menu (see gif below).

Once you are signed in, please first turn on 2-step verification.

Turn on 2-step verification

You need to turn on 2-step verification, otherwise you will be locked out of your account. 

  1. Open https://accounts.google.com

    • Note: make sure you are in the Google account provided by Iconic Works, otherwise switch Google accounts in the right top corner, via the drop down menu.

  2. Click Security in the left menu.

  3. Click 2-Step Verification under “How you sign in to Google”

  4. Click Authenticator at the bottom

  5. Click Set up authenticator

  6. Install any authenticator app on your phone, like Google Authenticator

  7. Scan the QR code → enter the QR code

  8. Click Turn on 2-step Verification

  9. You should see “You’re now protected with 2-Step Verification”

  10. Click Done

Open the feedback tool

You are now ready to start with the tool:

→ Open the feedback portal (see the link in the mail)

→ Open the active Annotation Queue to see the list of findings.

Please note: the tool is designed with the sole purpose of collecting your feedback, so this is not the end product!

Instruction to provide feedback

  1. Click on a finding on the left-side

  2. Read the finding details on the right-side

  3. Use the search function (above the document) to locate the issue in the document

    • Note: automated highlighting is a feature we will add in the near future.

  4. Give your feedback on the right-side

How to give feedback?

  1. Give each finding a Severity score Low, Medium or High. 

    • Note: we haven’t defined these levels on purpose. Please rate based on your own judgment. Your explanation in the comment box helps us understand your reasoning and refine how we classify findings in the future.

  2. Rate the finding (on bottom right of the page) based on the following scale

    • Finding Requires Action: This finding indicates an issue that must be addressed (e.g., corrected, clarified, resolved) because it can potentially affect the quality or correctness of the tender and project outcome.

    • Finding Does Not Require Action - Still Useful to Show: This finding does not require changes, but is valuable to surface because it provides helpful context or prompts a useful check for the reviewer or their team (e.g., highlights assumptions, raises a clarification question, or improves final review quality).

    • Finding Does Not Require Action - Still Useful to Show: This finding does not improve understanding, quality, or decision-making, and does not contribute to or potentially drive the tender or project outcome.

    • I Am Not Able to Rate This Finding: You cannot confidently assess this finding (e.g., unclear content, missing context, or outside your expertise).

  3. Give your verbal (use the microphone button) or written feedback in the field Why This Rating? 

    • Note: we really appreciate detailed feedback. The more you share, the better context we have to improve the AI model.

    • If the microphone is not working, please enable it first. Typically the address indicates that you need to allow the microphone for this website)

  4. Optionally: Use the 👍 and 👎 to give feedback on individual fields, such the Description, Reasoning and References, with optionally your verbal/written feedback per field.

  5. Please work through all the findings in the queue, so we collect enough data points to improve the AI model.

That is it!

We really appreciate you make the time to give feedback! For support, please find the contact details in the email.