Telegram Bot Agent Workspace Guide: Login Portal, Conversation List, Quick Replies & Transfer FAQ
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Telegram Bot Agent Workstation Guide: Login Portal, Conversation List, Quick Reply & Transfer FAQ
If you’re using a Telegram Bot for customer service, you’ve likely experienced this: constant message notifications on your phone, multiple inquiries mixed together, and scrolling hundreds of lines to find history; multiple people managing the same bot with no clarity on who replied to what. This “mobile solo mode” hits a clear efficiency bottleneck as customer volume grows.
A dedicated Telegram Bot Agent Workstation (i.e., a seat-based customer service system) centralizes these pain points. It’s essentially a web portal where your support team can log in, handle, transfer, and record all conversations in one interface. Platforms like TG-Staff specialize in this. This article uses TG-Staff as an example, guiding you step-by-step from login to transfer, helping you get started quickly.
Why Do You Need a Dedicated Telegram Bot Agent Workstation?
Mobile Management vs. Web Workstation: Efficiency Comparison
Here’s a direct comparison to show why you should switch tools:
| Aspect | Mobile Direct Reply | Web Agent Workstation (e.g., TG-Staff) |
|---|---|---|
| Message Management | Cluttered stream, easy to miss | Real-time conversation list, sorted by status, unread highlighted |
| Multi-Agent Collaboration | Can’t distinguish who replied | Independent agent accounts, sessions assignable and transferable |
| User Info | No user profile, relies on memory | Tags, history, source channel at a glance |
| Translation Support | Manual copy to translation tool | Auto-translate, one-click toggle before sending/after receiving |
| Process Automation | None | Visual command flows, routing rules, bulk messaging |
Mobile works for small-scale personal replies, but once team collaboration, multilingual customers, and compliance controls come into play, the efficiency gains of a web workstation are exponential. Let’s start from the first step to set up your agent workspace.
Step 1: Log in to Your Agent Workstation Portal
To log in, you need an agent account first. This is typically created or invited by your team admin in the TG-Staff console (https://app.tg-staff.com/).
Detailed Steps:
- Get Account: The admin adds your email on the “Agent Management” page or sends you an invitation link.
- First Login: Open your browser and visit
https://app.tg-staff.com/, enter the email and initial password assigned by the admin (change password immediately after first login). - Select Project: If you’re assigned to multiple bot projects, you’ll see a project switcher in the top-left corner after login. Click to select the project you want to handle.
- Confirm Agent Status: Ensure your agent status is set to “Online”. Offline status will not receive new conversations.
Tip: Workspace Login & Permission Confirmation
If the interface appears blank after login, don’t panic. First check two things: first, confirm that your agent account is activated and not expired; second, in the project settings, confirm that you have been added to the “Customer Service Scope”. If neither is correct, contact the administrator to add you as a designated customer service agent in the TG-Staff console under “Project Settings” → “Customer Service Scope”.
Step 2: Master the Conversation List and User Profile
After logging in, you will see the main interface of the workspace. The core areas are the conversation list and the chat window.
Key Elements of the Conversation List:
- Sorting: Default sorted by latest message time, with unread conversations pinned to the top and highlighted.
- Status Indicators: Each conversation has a status marker on the left—“Pending” means a new customer is waiting to be assigned; “In Progress” means an agent has joined; “Closed” means the conversation is finished.
- User Information: Click any conversation to see the user’s avatar, nickname, tags (e.g., VIP, New User, Complaint), historical chat records, and source channel (e.g., distribution link, group, direct search).
How to Efficiently Filter and Pin Key Conversations?
When there are dozens of conversations simultaneously, you can’t open each one individually. TG-Staff workspace offers several efficient management methods:
- Use Tags: Tag users during conversations (e.g., “High Intent”, “Technical Support”) for quick filtering later. Tags are set by agents or admins in the user profile.
- Search Box: Directly search by user nickname, Telegram ID, or keywords in messages to quickly locate a specific conversation.
- Pin Feature: For VIP users or urgent inquiries, you can pin conversations. Pinned conversations always stay at the top of the list until you manually unpin or close them.
With these operations, you’ll never miss the most important customers.
Step 3: Use Quick Replies and Auto-Translation to Boost Response Speed
Response efficiency is a core metric for customer service. Two features help you greatly improve: Quick Replies and Auto-Translation.
Creating and Using Quick Replies
Steps:
- Above the chat input box, find the “Quick Reply” icon (usually a lightning bolt or list symbol).
- Click it, then select “Manage Quick Replies” to enter the template editing interface.
- Create a new template: Fill in a name (e.g., “Welcome Message”, “Shipping Notification”, “Refund Process”) and content (plain text or Telegram-supported Markdown format, e.g.,
*粗体*,_斜体_). - Save, then in a conversation, click the Quick Reply icon and select the template to send it with one click.
Best Practices:
- Public vs. Personal Library: Public library is created by admins and shared among the team; personal library is created by yourself for your common phrases.
- Format Note: Avoid complex HTML tags in templates, as they may display as garbled text. Use only plain text and Telegram’s native Markdown.
Enabling Auto-Translation
If your customers come from different countries, auto-translation saves a lot of manual copy-pasting.
Configuration Steps:
- In the settings menu at the top right of the chat window, find the “Translation” option.
- Enable “Auto-translate incoming messages” and “Auto-translate outgoing messages” (can be toggled independently).
- Select the translation engine: Standard version uses AI translation; Professional version can switch to Google or DeepL professional translation for higher accuracy.
- Before sending, the translation result appears above the input box, where you can manually edit it before sending.
Thus, a message from a Spanish customer appears to you in Chinese; your Chinese reply is received by them in Spanish. The entire process completes in under a second.
Step 4: Conversation Transfer and Collaboration (FAQ Core Scenario)
One of the most common scenarios in customer service: you’ve taken a client, but the issue is beyond your authority or knowledge, requiring transfer to a technical colleague or supervisor. Here, the Conversation Transfer feature comes into play.
How to Transfer a Conversation?
Steps:
- At the top or sidebar of the chat window, find the “Transfer” button (usually a person icon or menu option).
- Click it, and the system lists all online agents under the current project, or grouped by department (if admins have configured departments).
- Select the target agent and confirm. The system transfers full control of the conversation to the other party.
- After transfer, the original agent can no longer see the conversation (unless you have admin privileges to view all conversation records).
How to Make Internal Notes During Transfer?
What customers hate most is “having to repeat everything from the start with a new person.” To avoid this, always make internal notes during transfer.
How to Do It:
- Before Transfer: In the note area of the chat window, write the current progress, confirmed information, and key points for the colleague taking over. TG-Staff Professional supports private notes visible only to internal agents.
- After Transfer: You can also give a verbal reminder via internal chat tools (e.g., Telegram group) to ensure they check promptly.
Note: cannot be undone after transfer
Before clicking the “Transfer” button, ensure you have selected the correct agent or department. Once the transfer is successful, control of the original conversation will be handed over to the recipient (unless the system supports a “Retrieve” function, most platforms default to irreversible). An incorrect transfer will disrupt the customer experience, so proceed with caution.
FAQ
Q: Why can’t I see any conversations after logging into the workspace?
A: Check if you have been assigned to the corresponding project. If not, ask the admin to add you as a designated agent in TG-Staff Console under “Project Settings” → “Agent Scope”. Also, verify that the conversation list is not filtered or sorted by conditions, such as showing only “ended” conversations.
Q: How do I transfer a conversation to a colleague?
A: Find the “Transfer” button (usually a person icon) at the top or sidebar of the conversation window. Click it, select the target agent or department, and the system will transfer the current conversation. After transfer, the original agent will no longer be able to see the conversation (unless they have special permissions).
Q: I set up quick replies, but when sent, the customer sees garbled text or formatting errors?
A: This usually happens because the quick reply contains unsupported special characters or HTML tags. It’s recommended to use only plain text and Telegram-supported Markdown formatting (e.g., *粗体*, _斜体_). Check your template content and simplify the formatting.
Q: What if the automatic translation feature is inaccurate?
A: Automatic translation relies on AI or third-party translation engines. The Pro version allows switching between different engines (e.g., DeepL). If you find domain-specific terms mistranslated, you can manually edit the translation before sending, or disable auto-translation and switch to manual translation.
Q: What happens to conversations assigned to customers when I go offline?
A: It depends on your platform configuration. In TG-Staff, if the “Online First” routing rule is set, new conversations will not be assigned to you when offline. If “Round Robin” is used, new conversations may briefly appear in your list even when offline, but it’s recommended that admins enable the “Do Not Assign When Offline” feature. Ongoing conversations remain in progress until you end or transfer them.
Summary and Next Steps
Through this article, you have mastered the core operations of the Telegram Bot Agent Workspace: from logging into the portal, managing the conversation list, using quick replies and automatic translation to boost efficiency, to conversation transfer and collaboration. These skills will help you and your team break free from the chaos of mobile devices and achieve efficient, professional customer service.
If you haven’t started yet, now is the best time:
- Try TG-Staff Agent Workspace for free and experience the convenience of managing Telegram Bot customer service via a web portal → https://app.tg-staff.com/
- Deep dive: Visit the documentation center for complete configuration and advanced tips → https://docs.tg-staff.com/
- Real-time support: Contact our official customer service Bot for any questions → https://t.me/tgstaff_robot
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