Operation guide for the first week after setting up Telegram customer service system: configuration, training and review milestones

When setting up a new Telegram customer service system (such as using a SaaS platform such as TG-Staff), the first week is often the stage where problems are most likely to occur. Agents are not familiar with the tools, the diversion rules are not being followed, and user inquiries are suddenly influxing - if any link is dropped, the team may be in a hurry and even lead to the loss of users.

The goal of this article is very clear: use the executable first-week timeline to help you smoothly run through the customer service process from configuration, training to data review, and achieve the first operational milestone.

Why is the first week of operations critical?

The first week of the new system’s launch is the golden window period to build trust, identify problems, and adjust the process. If the rhythm is out of control, the following problems may occur:

• Agents do not know how to allocate conversations, pass the blame to each other or receive repeated receptions
• Users wait too long and leave directly or leave negative reviews
• The team is not familiar with the tool functions and misses key capabilities such as automatic translation and conversation transfer.

In turn, if the first week can be run efficiently, the team will quickly build confidence, and users will also feel the professional response - this will lay a solid foundation for subsequent automated processes (such as visual commands, batch sending).

Day 1: Basic Configuration and Team Alignment

The core task on the first day is not to let agents go online directly to pick up customers, but to complete the basic configuration of the system and align the team’s internal rules.

Configure session offloading and agent permissions

Within the TG-Staff console, you need to first decide how sessions will be assigned to agents. The system provides two traffic distribution strategies:

Diversion strategy	Applicable scenarios	Precautions
Allocation in turns	Team agents have the same online time and hope to distribute the workload evenly	Default strategy, poll authorized agents in order
Online Priority	Agents’ online time is scattered, and we hope that online agents will take over first	Automatic fallback and rotation allocation when all offline

Recommendation: Enable Online Priority on the first day, because new team agents may still be adapting to the tool and their online status is not fixed. Wait until the team is stable before switching.

At the same time, limit the visibility range of agents by project. If your Bot has multiple projects (for example, pre-sales consulting and technical support are separated), you can specify that certain agents can only handle sessions for specific projects to avoid information confusion.

Edit Bot profile and chat background

The first thing users see is your bot avatar and name, not your console. In the TG-Staff console, you can directly update the Bot’s avatar, name, and description without jumping to BotFather. Pro version users can also set Telegram theme chat backgrounds (light/dark) to improve brand consistency.

Days 2–3: Agent Training and Simulation Exercises

After the tool is configured, agents need to get started quickly. It is recommended to complete the training at a pace of 1 hour demonstration + 2 rounds of simulation exercises.

Core function operation training

Covers the following TG-Staff core operations:

• Web chat interface: how to view the conversation list, switch users, and send messages
• Automatic Translation: How to enable translation when sending/receiving messages (the standard version includes AI translation, and the professional version can additionally choose Google or DeepL)
• Session pins and labels: Mark urgent conversations or categories (such as “Refund” and “Technical Failure”)
• Session Transfer and Collaboration: How to transfer a session to another agent and record internal notes using private notes (Pro)

Content risk control rule configuration and training (Professional version)

If the team uses the professional version, additional training is required for the Internal Control Management (Content Risk Control) function. Core scene:

• Before the agent sends a message, the system automatically detects risk words
• After hitting the risk word, a pop-up window will pop up for a second confirmation or directly block sending.
• Especially suitable for Web3/cryptocurrency teams: configure wallet address monitoring rules to prevent mis-sending or illegal sending of payment addresses

Days 4–5: Real traffic acceptance and rapid iteration

After the training is completed, some channels will be opened to attract traffic (such as the official website, social media, and emails). It is not recommended to open all channels on the first day - start with small traffic volume to allow agents to adapt to real scenarios.

Key actions: Record common problems, response delay points, and Bot process breakpoints in the first 50 sessions. Spend 15 minutes at the end of each day to review and adjust during the day.

For example: If you find that users frequently ask “How to reset password”, it means that this option is missing from the welcome message or Bot command. The visual command process can be optimized the next day to supplement this feature.

Days 6–7: Data review and milestones achieved

In the last two days of the first week, the team was guided to extract key indicators from TG-Staff’s User Portraits and Statistics function:

• Total Sessions: How many sessions were processed
• Average response time: whether the target was reached (e.g. within 5 minutes)
• Frequently Asked Questions Classification: Which questions account for the highest proportion
• Agent performance: processing volume and transfer rate of each agent

Compare the goals of the first week and summarize the experience. A reasonable First Week Milestone could be:

• At least 3 FAQ types identified in the first 50 conversations
• Average response time is controlled within 5 minutes
• Agents can independently complete session transfer and label operations

Based on these data, plan the optimization direction for the second week: Is it necessary to add a new visual command process? Do you want to start batch distribution for user activation?

How to use diversion links and traffic attribution to optimize conversions?

By the end of the first week, you should have a rough idea of ​​where your users are coming from. TG-Staff’s Diversion Link can help you do more precise attribution:

• Generate official domain name short link (such as https://app.tg-staff.com/{code})
• Before the user clicks and jumps to Telegram Bot, the system automatically captures the visitor’s IP, browser information and URL parameters
• Can be used to track the number of inquiries brought by different channels (advertising, social media, emails)

Practical Tip: Before the start of the second week, create independent diversion links for each traffic channel. This way you can clearly know: Which channel brings the most users? Which channel has the highest quality of user consultation? Adjust your traffic budget and strategy accordingly.

FAQ

Question: After setting up the Telegram customer service system, what configurations must be completed in the first week?

Answer: At least complete Bot data editing, session diversion rule setting, agent account creation and permission assignment, and team service time and response standard alignment. It’s recommended to use this Day 1 checklist to check each of them one by one.

Question: Should I choose “Turn Allocation” or “Online Priority” for session offloading?

Answer: If the team’s agents are online for the same time and want to distribute the workload evenly, select rotating distribution; if the agents’ online time is scattered and you want online agents to take over first, select Online Priority. When completely offline, the system will automatically fall back to rotation allocation.

Question: How to quickly train new agents to use the TG-Staff console?

A: It is recommended that you spend 1 hour demonstrating core operations (live chat, conversation transfer, tagging), followed by 2–3 practice rounds of simulated customer conversations. The professional version team also needs additional training on content risk control rules and wallet address monitoring scenarios.

Question: How many sessions should be processed normally in the first week to be considered a milestone?

Answer: It depends on the size of the traffic channel. A recommended goal is to identify at least 3 common problem types in the first 50 conversations, with an average response time of less than 5 minutes. The data can be used to optimize the visual command process in the second week.

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The first week is just the beginning. It is recommended to register [TG-Staff free trial] (https://app.tg-staff.com/) (3 days) now and configure a Bot project yourself. If you encounter any problems, you can check the official documentation or directly contact @tgstaff_robot for one-on-one onboarding support.