The Graph, an indexing protocol for organizing blockchain data and making it easily accessible, Recently shared how using AwesomeQA in their community helped them overcome common community management challenges. They had this to say: “The AwesomeQA bot alleviated the burden from members of the community answering repeat questions in Discord. Not only did this free up their time to work on other activities, but it also resulted in faster responses to these repeat questions, which of course made The Graph’s community members happy. The ability to train the bot on The Graph’s docs as well as responses from members of the ecosystem in Discord also ensures the bot is forever being trained and kept up to speed on new features, troubleshooting techniques, and general information that is valuable to users.” This shows how they are using AwesomeQA's automation in smart ways to manage their community. They're not only growing but also ensuring their members get quick and effective support. A big thanks to Team Graph for sharing their experiences with us. Want to know more about how it's been for them using AwesomeQA? Check out their full story here: https://lnkd.in/evNy74my
AwesomeQA
Softwareentwicklung
Munich, Bavaria 1.113 Follower:innen
Improving Customer Support for Communities
Info
Increase community satisfaction and engagement through instant support Our AI bot answers community questions directly within your Discord or Telegram channels, as well as on your website, using your knowledge base, chat history, and documentation with 98% accuracy.
- Website
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https://awesomeqa.xyz
Externer Link zu AwesomeQA
- Branche
- Softwareentwicklung
- Größe
- 2–10 Beschäftigte
- Hauptsitz
- Munich, Bavaria
- Art
- Kapitalgesellschaft (AG, GmbH, UG etc.)
Orte
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Primär
Agnes-Bernauer Straße
Munich, Bavaria, DE
Beschäftigte von AwesomeQA
Updates
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Here’s a groundbreaking idea; 𝗔 𝘂𝗻𝗶𝗳𝗶𝗲𝗱 𝗶𝗻𝗯𝗼𝘅! yeah yeah we know, it sounds like something everyone should already be doing… But surprisingly, it’s still not common practice. From a marketing perspective, imagine spending all that effort to get someone’s attention through your campaigns, only to make them wait when they finally reach out. When incoming queries are coming from 4 or 5 different places, delays are bound to happen. Using a single inbox is becoming essential, and every support/sales agent wants the same thing. With AwesomeQA, you can easily create a unified inbox that includes your emails, Telegram (soon), and web support tickets. This inbox will connect directly to your internal communication tools like Discord, and soon Slack, so your agents can handle all incoming inquiries from one platform. #customersupport
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No more juggling between inboxes! Your support team can now manage email and website tickets in real-time directly within one tool—Discord (with Slack integration coming soon). This latest AwesomeQA product update helps your support team save time and eliminates the friction of context switching, leading to faster responses, reduced clutter, and significantly improved efficiency. Plus, with everything in one place, your support team can easily loop in non-support colleagues—like product, engineering, or sales—to solve complex issues faster through direct collaboration. One platform, zero friction. Watch your team solve problems faster and collaborate with ease. #B2Bcustomersupport
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When we introduced multilingual support, our goal was to help businesses deliver an inclusive experience and serve their global audience effectively. What has been interesting, though, is seeing how some of our users are deriving even more value from it than we initially expected. Take one of the projects using AwesomeQA, for example. They aren’t just using our AI agent for customer-facing interactions; they are also using it internally as a tool to assist their technical support team. Why? Because many of these professionals are subject-matter experts, but English isn’t their first language. The AI agent helps them bridge language gaps and quickly extract accurate information from dense technical documentation. Why not let the AI handle customer questions directly? They do. But... There are many cases where the technical team adds a level of expertise and human nuance that is critical when dealing with complex product issues. The AI isn’t replacing them; it’s making them more efficient, more effective, and ultimately, more confident in the support they provide. It is speeding up their workflows, improving the quality of their responses, and helping a skilled team of non-native speakers deliver exceptional support. #customersupport
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“Not sure if you’re a bot or human but thank you for that prompt & detailed response!” The user spends more time crafting their question than it takes them to get an answer. If that’s not leveling up customer support, what is? Users today don’t want to dig through your docs. They don’t want to wade through endless web pages either. That’s why we’re seeing a shift toward AI-generated summaries over scrolling through Google search results. Why spend time clicking through ten links when an AI can summarize the top points for you in seconds? It’s the same reason people prefer chat interfaces that give instant answers over traditional FAQs. Or why consumers opt for voice assistants to quickly check the weather or set reminders, instead of opening an app or typing a query. They want immediate answers, and we’re seeing this shift in behavior everywhere. AI agents are stepping in to meet that demand. If that doesn’t scream the value of AI in customer support, what does? A big shoutout to Graham Anderson from Spexi for sharing this awesome example with us. It’s always great to see AI in action, enhancing the customer experience in real time.
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When a resolution isn’t documented or made easily accessible for future reference, it creates a frustrating cycle that wastes both time and resources. This happens a lot when knowledge bases aren’t kept up-to-date with past resolutions due to the manual work around it. The information isn’t there for new support agents or AI systems to rely on, so they have to escalate those problems again. Several team members had already spent significant time resolving it once, and now they’re being pulled in again for their input. It’s inefficient and slows down the whole process. To fix this, it is important to capture and store conversations where these issues were solved in the first place. By linking that chat history directly into a shared knowledge base, you can create a system that’s constantly learning and growing. That way, when the same issue comes up again, support agents, or even AI agents, can quickly find the solution and move on, without dragging other people into it. AwesomeQA has been powering knowledge bases from chat histories (spaces where these discussions and resolutions are happening) since day one. #customersupport
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Rolling through 80KM with the squad! 🚴♂️🥐 Plenty of laughs, pastries, and sore legs to go around, but we made it! Another challenge down, and we’re still standing strong 💪 #awesometeam
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AwesomeQA hat dies direkt geteilt
Companies that serve a global customer base often face a challenge when support AI agents escalate non-English queries to their teams. In such cases, team members typically rely on external translation tools, which may not always provide the best accuracy. Plus, manually translating each message to understand it, and then translating the response before sending it back in the user's language, is time-consuming and inefficient. Our recent product update solves this issue. Now, messages from end-users are automatically translated and delivered to support agents in English, while responses from agents are instantly translated back into the end-user's language. This seamless, real-time translation allows human agents to provide multilingual support just as effortlessly as AI agents, ensuring smooth communication with no delays or lags. #customersupport #aiagent #globalcustomerbase
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Companies that serve a global customer base often face a challenge when support AI agents escalate non-English queries to their teams. In such cases, team members typically rely on external translation tools, which may not always provide the best accuracy. Plus, manually translating each message to understand it, and then translating the response before sending it back in the user's language, is time-consuming and inefficient. Our recent product update solves this issue. Now, messages from end-users are automatically translated and delivered to support agents in English, while responses from agents are instantly translated back into the end-user's language. This seamless, real-time translation allows human agents to provide multilingual support just as effortlessly as AI agents, ensuring smooth communication with no delays or lags. #customersupport #aiagent #globalcustomerbase
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Last night, we dove into an intense round of Codenames and the competitive streaks were real! 👀 Game nights like these are a great way to unwind, connect, and get to know your teammates beyond the daily grind. Check out the intense focus (and a few laughs) around the table as everyone tried to outsmart each other. 😉