MTG Reporting

Chat Feedback

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Chat Feedback

Sessions in selected period (page 20, 979 total). Use filters below.

Feedback Trend [Daily]

Fri, Apr 329

Mon, Apr 6

1-96.55%

Feedback Trend [Weekly]

Sun, Mar 29114

Sun, Apr 5

1-99.12%

Feedback Trend [Monthly]

Sun, Mar 1411

Wed, Apr 1

71-82.73%

Goal tracking

Weekly feedback goals (this week, UTC). Stored in database.

Overall — this week

6 Apr 2026 – 12 Apr 2026

1 / 180

Group goals

Group 1· Caden0 chats0/60 · 0%

Group 2· Joe0 chats0/60 · 0%

Group 3· Lys0 chats0/60 · 0%

Individual goals

Dylan Chorley· Group 10 chats0/6 · 0%

Harish D· Group 10 chats0/6 · 0%

Haritha Pakanati· Group 10 chats0/6 · 0%

Jordan DeLoach· Group 10 chats0/6 · 0%

Kimaya Badhe· Group 10 chats0/6 · 0%

Michele Ballesteros· Group 10 chats0/6 · 0%

Richard Filingeri· Group 10 chats0/6 · 0%

Sean Gillick· Group 11 chat0/6 · 0%

Shivam Shukla· Group 10 chats0/6 · 0%

Tanika Singla· Group 10 chats0/6 · 0%

Leaderboards

Top users and projects by feedback submitted. Use filters below.

Date:All time Today This week This month Last 7 days Last 15 days Last 30 days Last 3 months Last 6 months

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Top users (feedback submitted)

Most feedback submitted in selected period

MC
1. Manav Chadha
1 feedback
0.51.55

Top projects/spaces (feedback submitted)

By project (Asana name), sorted by feedback count

1. Almo Data Cloud
Manav ChadhaLys Fletcher
1 feedback

Hours saved

Sorted by total hours saved

MC
1. Manav Chadha
1.5h saved1 feedback

Chat Feedback

Session list with feedback, ratings, and hours. Click the review icon on a row to add comments, next steps, and follow-up (status, follow-up types).

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Date:All time Today This week This month Last 7 days Last 15 days Last 30 days Last 3 months Last 6 months

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Hours (estimated vs spent vs saved with AI)

Estimated

227.97 hrs

Spent

120.75 hrs

Saved with AI

107.22 hrs

Gray: estimated · Amber: spent · Green: time saved using AI chats

Number of chats

979

Feedbacks

277

Save to library

Rating avg

4.1

Session created	Feedback created date	Title	Client name	Project name	Prompt name	Connected tool used	SME used	Group name	Hours est.	Hours spent	Hours saved	Save to library	Rating	Task type	Comment
3/30/26, 7:30 PM	—	Hello Sarah, Thank you for your clarity on our request. Including yourself, Michael, and			—	—	—		—	—	—	—	—	—	—
3/30/26, 7:26 PM	—	# Filter Data Factory Resources from CSV ```python import pandas as pd # Read the CSV	—	—	—		—	—	—	—	—	—	—	—	—
3/30/26, 7:25 PM	—	# Filter Data Factory Resources from CSV ```python import pandas as pd # Read the CSV	—	—	—	—	—	—	—	—	—	—	—	—	—
3/30/26, 7:23 PM	—	# Filter Azure Data Factory Resources Here's a Python solution to filter Data Factory resources from your CSV	—	—	—		—	—	—	—	—	—	—	—	—
3/30/26, 7:15 PM	—	Hello! How can I help you today?	—	—	—	—	—	—	—	—	—	—	—	—	—
3/30/26, 7:14 PM	—	Yes, I can help with that. I can: 1. **Identify inconsistencies	—	—	—	—	—	—	—	—	—	—	—	—	—
3/30/26, 7:09 PM	3/30/26, 8:43 PM	I'd be happy to help you create hyperlinks for the Service Cloud links section, but I don	—	—	—	—	—	—	1.00	0.12	0.88	No	1
3/30/26, 7:08 PM	—	I appreciate your interest in getting feedback, but I don't have access to the files you're refer	—	—	—	—		—	—	—	—	—	—	—	—
3/30/26, 6:57 PM	—	I appreciate your request, but I'm not able to directly access or modify Google Sheets, run	—	—				—	—	—	—	—	—	—	—
3/30/26, 6:52 PM	—	Weekly Feedback Submission Report	—	—				—	—	—	—	—	—	—	—
3/30/26, 6:41 PM	—	I don't have access to the file "@Rebate_Solution_Review_otter_			—	—	—		—	—	—	—	—	—	—
3/30/26, 6:22 PM	—	SQL Query Date Filter Ordering	—	—	—	—	—	—	—	—	—	—	—	—	—
3/30/26, 6:18 PM	—	Weekly Feedback Submission Report	—	—				—	—	—	—	—	—	—	—
3/30/26, 6:18 PM	—	Weekly Feedback Submission Report	—	—				—	—	—	—	—	—	—	—
3/30/26, 6:16 PM	—	```sql SELECT u.id AS user_id, u.name AS	—	—	—	—	—	—	—	—	—	—	—	—	—
3/30/26, 6:12 PM	3/30/26, 6:57 PM	In Marketing Cloud Personalization, you can define up to 50 global goals and **	—	—	—	—	—	—	0.25	0.17	0.08	No	5		—
3/30/26, 6:11 PM	3/30/26, 6:28 PM	I appreciate your request, but I don't see a SOW document attached to your message. You	—	—		—	—	—	0.02	0.20	-0.18	No	1
3/30/26, 6:06 PM	—	I'm ready to generate the report with each user's group name displayed. However, I need the	—	—				—	—	—	—	—	—	—	—
3/30/26, 6:06 PM	—	SELECT u.id AS user_id, u.name AS user_name	—	—	—	—	—	—	—	—	—	—	—	—	—
3/30/26, 6:00 PM	—	Collaborative Filtering in Marketing Cloud Personalization Collaborative filtering is a recommendation technique that pred	—	—	—	—	—	—	—	—	—	—	—	—	—

Showing 381–400 of 979