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Four Tips for Selecting a Community Technology

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The right community technology is critical. It provides the infrastructure to connect your members, share information and ideas, and collaborate on projects.

We know that  technology ≠ community. But an effective community technology strategy should include the combination of a primary platform (external like Khoros or home-grown) and extensions like reporting tools (Orbit, Common Room) and generative AI tools. This ensures you have the technology in place to create and manage an effective and elegant community solution.

You can use our Use the Community Technology Framework™ (below) in conjunction with our other community models and frameworks to ensure you are building best-in-class community programs using common language.

Four Tips for Selecting a Community Technology
community technology framework - community platform and technology resources

Why is selecting your technology important?

Choosing the right community management technology can be daunting. But selecting a community technology (or an ecosystem of tools) is important for four main reasons:

  • Efficiency. Selecting the right community technology helps automate tasks, such as moderating discussions, sending out announcements, and tracking engagement. This frees up your time so you can focus on other more personally meaningful aspects of community management.
  • Effectiveness. Selecting the right community technology for your needs helps create a more engaging and productive community. Depending on your needs, your community technology can create polls, surveys, and discussion forums to get feedback from your members. It can host gamification elements to boost engagement and create safe spaces for your members to collaborate and share ideas. Some community technologies even offer niche services likes translating.
  • Security. Selecting the right community technology protects your community from spam, trolls, and other forms of abuse. It will also have features that allow you to control access to your community and what content members see.
  • Scalability. The right technology must able to grow with your community. As your community grows, you’ll need a platform that can handle the increased traffic and volume of data.

Four Tips for Selecting a Community Technology

Use these fours tips for selecting a community technology to make the best decision for your community program.

  1. Start with Strategy. The complexity of these platform choices may confuse you, your community management team, and your members. A good strategy prioritizes and identifies the key behaviors that you need to enable. This gives you strong guidance as you look at and configure platforms. Without that alignment, the conflict will at best keep you from efficiency and at worst, hamper engagement and value.
  2. Evaluate Analytics & Reporting Next. If you can’t see what members are doing you will not be able to optimize your system. You need to see it in the data, segment it, compare it, and measure its value and influence on business outcomes. Additionally, the ability to easily get tactical, operational, and strategic reports will impact your ability to manage the community and communicate progress to stakeholders.
  3. Platform Architecture Bites Back. If you don’t evaluate the permissions structure, the way in which new communities are provisioned, and the integration and indexing of content, audit options, and ecosystem governance you may be left with a tool that severely limits growth.
  4. Evaluate User Functionality. If your key behaviors are available in the platform but difficult to use, that will be problematic and it will constrict engagement rates and value. Additionally, design (particularly graphics and faces) matters in social systems. Faces are critical to ensure your community feels like well, a community. Otherwise it could feel like a static website, a content repository, or a transactional ticketing solution.

Beyond ChatGPT: Four Generative AI Tools for Community Managers

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One of the biggest use cases for generative AI for community managers is help generating new content and copywriting. We think generative AI is a great tool for outlining, drafting, and researching content projects but IT IS NOT a substitute for thoughtful, people-generated content for your communities.

Since ChatGPT blazed onto the scene in November 2022 they’ve been the biggest generative AI name community managers have been discussing. But, ChatGPT isn’t the only (or even best) option for a lot of the content-related uses community managers have for generative AI capabilities. Google’s Bard is the other big name in general generative AI right now, but of course this is constantly changing.

Here’s a quick rundown of four generative AI tools for community managers working on content/copywriting projects:

Four Generative AI Tools for Community Managers

  1. Jasper is a popular AI content and copywriting tool that uses GPT-3 to generate high-quality, human-like copy. Jasper, like most of these tools, can create a variety of content, including blog posts, ad copy, and social media posts. Jasper AI copywriting tool
  2. Writesonic is another popular AI content and copywriting tool that uses GPT-3 to generate high-quality copy. They focus on writing factual and hyper-personalized content that maintains your brand voice and is SEO-optimized with your chosen keywords. Writesonic AI copywriting tool
  3. Anyword is an AI content and copywriting tool that focuses on AI performance writing for marketing teams. And stands out for it’s ability to write optimized copy for search engine results pages (SERPs). The also have a Canva extension so you can generate copy during the design process. Anyword AI copywriting tool
  4. Grammarly is a well-known grammar checker that you might already use (we do!) We just learned that Grammarly also offers an AI copywriting tool that can used to improve the grammar, style, and clarity of your copy, in addition to generating copy in the your voice or the voice of your brand. Grammarly AI copywriting tool

Which Tool Should You Choose?

As always, the best generative AI tool for you and your community depends on your specific needs, preferences, and resources. Looking for a tool that can generate high-quality, human-like copy? Jasper or Writesonic are good options. Looking for a tool that can write copy optimized for SERPs? Anyword is a good option! And if you are looking for a tool that can help you improve the grammar, style, and clarity of your copy, then Grammarly is a good option.

We’d be remiss not to reiterate that any generative AI tool are not a replacement for human copywriters. They are a valuable source of ideas and inspiration, but shouldn’t be used as the sole content generation tool (learn more about the challenges of using generative AI here) in your toolbox. Ultimately, the best content for your community managers is still going to be written by human community managers. They are the ones who truly understand the nuances of your voice, tone and language, and the unique needs and requirements of your audiences.

Other Factors to To Consider

Here are some additional factors to consider when choosing a generative AI tool for content generation and copywriting:

  • The type of content you need to create. Some tools create certain types of content better than others. For example, Jasper is a good choice for creating blog posts, while Writesonic is a good choice for creating ad copy.
  • The price. Generative AI tools can range in price from free to hundreds of dollars per month. It is important to choose a tool that fits your budget.
  • The ease of use. Some tools are more user-friendly than others. If you are not familiar with generative AI tools, it is important to choose a tool that is easy to learn and use.

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3 Challenges of Using Generative AI in Community Management

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As generative AI technologies, like ChatGPT and Bard, continues to develop, it is likely that we will see even more ways in which it can be used to help community managers accelerate the work they do, but like any emerging technology it is evolving, and isn’t without downsides.

Before we dive into 3 challenges of using generative AI in community management, there is one big challenge we want to address on its own.

Generative AI can be misused for malicious purposes, such as generating misinformation, fake news, or deceptive content.

Want to learn more about the impact of AI on online community management? Check out this post Four AI Prompts for Community Managers or search “AI” in the search tool above!

This raises concerns about the potential for user manipulation, fraud, or spreading harmful narratives. Safeguarding against misuse requires responsible usage, content moderation, and proactive measures to ensure the technology is not exploited for harmful intents. As a community manager using generative AI be aware of the content that is generated and always double-check facts and verify any questionable content.

Before starting to use generative AI in your community work, definitely explore what some of the challenges are, and make sure you understand the impact generative AI can have on your work.

3 Challenges of Using Generative AI in Community Management

  • Bias: : Generative AI models can reflect biases present in the training data they were exposed to. This can result in biased or unfair outputs, perpetuating societal biases or stereotypes. Addressing and mitigating bias in generative AI remains a significant challenge, requiring careful data curation, model design, and ongoing evaluation. As we strive to build diverse, inclusive community spaces, being aware and correcting for any biases in content generated by AI technologies is critically important.
  • Accuracy: Generative AI models are not always accurate, and they can sometimes generate incorrect or misleading information. This can damage the reputation of you as a community manager, your community or overall organization. Our rule of thumb is that ANY content generated by an AI technology is a first draft. Treat generated content the same way your would any first draft content, and make sure it is proofed carefully, and edited for clarity, relevance, and tone.
  • Overconfidence and Lack of Transparency: AI models often exhibit overconfidence in their responses, providing answers even when they are uncertain or the information is not available. This creates a false sense of reliability and makes it difficult for readers to gauge the accuracy of the generated content. While generative AI can be a great brainstorming tool, we hesitate to recommend it as a replacement for thoughtfully written, expert content created by community managers and subject matter experts.

Overall, generative AI has the potential to be a powerful tool for community managers to help scale and accelerate some of the rote work being done. However, be aware of the challenges and limitations of this technology before using it in your community so you can avoid mistakes like biased or inaccurate content.

Addressing these challenges requires ongoing research, transparency, and responsible deployment of generative AI models, along with continuous improvements in training methodologies, bias mitigation techniques, and user feedback mechanisms.

Want to learn more about the impact of AI on online community management? Check out this post Four AI Prompts for Community Managers or search “AI” in the search tool above!

Four Ways Generative AI Can Help Community Managers

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Generative AI (like ChatGPT and Bard) can help community managers in a number of ways. As we discussed in the SOCM 2023 and Four AI Prompts for Community Managers, ChatGPT (or any generative AI) is not designed to do your work, but to accelerate your work. You still need the ideas, you just need to learn how to express them as prompts. 

We like to like of generative AI as another team member to help us generate ideas, draft copy (that we heavily edit!) and research ideas or topics that we are learning about. But that’s just a tip of what community managers can do with generative AI.

Four Ways Generative AI Can Help Community Managers

If you need help getting started, here are four ways generative AI can help community managers accelerate their work.

Four Ways Generative AI Can Help Community Managers

  • Automating repetitive tasks: Generative AI can be used to automate tasks such as moderating comments, generating FAQs, and creating social media posts. This can free up community managers to focus on more strategic and creative work.
  • Providing insights into community behavior: Generative AI can help analyze community data and identify trends and patterns. This can help you understand how your community is interacting with content and programs, drive decision making for new content, and help identify areas where community members are struggling so you can improve the user experience.
  • Creating engaging content: Generative AI can be used to create engaging content such as blog posts, articles, and videos. This can help community managers attract new members to their communities and keep existing members engaged.
  • Personalizing the community experience: Generative AI can be used to personalize the community experience for each member. This can be done by recommending content, suggesting friends, and providing targeted support.

Here are some specific examples of how generative AI is being used by community managers today:

  • Reddit: Reddit uses generative AI to moderate comments and identify spam. This helps to keep the community safe and welcoming for all users.
  • Stack Overflow: Stack Overflow uses generative AI to generate FAQs and answer questions. This helps to provide users with quick and accurate answers to their questions.
  • HubSpot: HubSpot uses generative AI to create blog posts and social media posts. This helps to attract new leads and keep existing customers engaged.

As generative AI technology continues to develop, we will see even more ways in which it can be used to help community managers accelerate the work they do, allowing more time for creating meaningful relationships with members.

Want to learn more about the impact of AI on online community management? Check out this post Four AI Prompts for Community Managers or search “AI” in the search tool above!

Four AI Prompts for Community Managers

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We firmly believe that AI is NOT coming for the community manager jobs. In fact, the potential for AI to help community professionals extend their impact is huge. But for a lot of us, it’s unclear how to even start with AI. So, we decided to bring in some experts.

Hans Scharler is a MathWorks Community Strategy Leader and Chen Lin is a MathWorks Product Manager for MATLAB Central (and a member of TheCR Network.) They contributed a straight-forward look at Why Community Matters (More Now) in The Era of AI in the 2023 State of Community Management Report (get your copy here) and shared four easy prompts for how you can start to use AI like ChatGPT in your community program.

Once you get comfortable with the basics of AI prompting, try some prompt engineering to help you as a community manager. (Not comfortable with ChatPGT/the basics of prompting? Check out the pull-out AI guide in the on pages 59-60 for the 2023 report!)

Four AI Prompts for Community Managers

Four AI Prompts for Community Managers

Use ChatGPT with the these four AI prompts for community managers below and customize for your particular needs. You will be surprised what you are now capable of doing with Generative AI.

  • Define a high-level editorial calendar template for content and themes to support an online community for a SaaS startup. Include ideas for each month. Output as a table.
  • Help me create a rotating support model for managing an online community. Define the problem statement, possible solutions, include a table of the pros and cons for each approach.
  • Act like a new community member who just joined an online community for a professional community network. You were recently hired by a tech company to be a community manager. You have a technical background and are interested in working with people. What resources do you need to be successful in your new role?
  • Help me justify an increased investment to our company’s community strategy. Write three talking points that a CMO would find compelling.

If you are just starting out, reset your expectations. ChatGPT is not designed to do your work, but to accelerate your work. You still need the ideas, you just need to learn how to express them as prompts. Another thing to remember is that it is a living conversation. The first response might not be quite right, so try again, ask ChatGPT for variations, provide more details or context, and ask for different formats like a bullet list, an email template, a table, or even a LinkedIn post with hashtags and emojis. You will learn a lot through trial and error vs. question and answer so keep trying!

Five Tips for Community Managers Getting Started with ChatGPT

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Not every community managers is super tech-savvy – and that’s ok! It feels like there are always new platforms or services to try out – and you can’t really tell which ones it’s worth investing time in (remember Vine? Clubhouse? RIP!)

Generative AI is here to stay, and if you aren’t comfortable using it it’s time to learn. Below we’ve shared five tips for community managers getting started with ChatGPT (or any generative AI technology).

Five Tips for Community Managers Getting Started with ChatGPT

Five Tips for Community Managers Getting Started with ChatGPT

Familiarize Yourself with ChatGPT: Take the time to understand what ChatGPT (or an equivalent generative AI technology like Google’s Bard AI) is and its capabilities. Learn about its natural language processing abilities, its training process, and the types of questions or prompts it can handle.

Identify Your Use Case: Determine the specific purpose for which you want to use ChatGPT. Start with your community use case (customer support? brand awareness? employee collaboration?) and then clarify your objectives and how ChatGPT can assist you in achieving them.

Collect Relevant Training Data: If you have specific domain knowledge or context that you want ChatGPT to understand better, gather relevant training data. This could include historical chat logs, documents, or relevant articles to help improve the model’s performance in your desired area.

Experiment and Iterate: Start by asking the iterative AI of your choice a variety of questions or providing different prompts related to your use case. Experiment with different phrasings, instructions, or settings to see how the model responds. Take note of the strengths and weaknesses of the model’s output and iterate to refine your prompts and maximize the usefulness of the responses.

Provide Feedback and Adjust: As you use ChatGPT, provide feedback to OpenAI or the platform you’re using to help improve the model. Remember – we are at the beginning of this new technology, and it will (and should) evolve. Report any issues, biases, or problematic outputs you encounter. Additionally, adjust your own prompts, instructions, or guidelines based on the feedback you receive from users or community members to ensure responsible and effective usage.

Want to learn more about the impact of AI on online community management? Check out this post Four AI Prompts for Community Managers or search “AI” in the search tool above!

What is Generative AI and Why Does it Matter to Community Managers

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What is Generative AI

Generative AI is a type of artificial intelligence (AI) that can create new content, such as text, images, or music. Two common generative AI models are ChatGPT and Bard. Generative AI models are trained on large datasets of existing content, and they learn to identify patterns and relationships in that data. Once they are trained, generative AI models can be used to create new content that is similar to the content they were trained on. You may have seen examples of AI generatde art on social media channels, and music that contains elements generated by AI is now eligible to win Grammy Awards.

What is Generative AI and Why Does it Matter to Community Managers

We aren’t going to be winning any Grammys over here, but we are interested in how community managers can use generative AI to scale and accelerate the work they do.

Why Does it Matter to Community Managers

Overall, generative AI has a wide range of potential applications for online community managers, including:

  • Assisting with member support: Generative AI can help you identify common support issues and craft an approach for increasing member satisfaction. First define the problem statement, and use generative AI to brainstorm possible solutions, including a table of the pros and cons for each approach.
  • Automate repetitive tasks: Generative AI helps you automate tasks such as moderating comments, generating FAQs, and creating social media posts. This can free up community managers to focus on more strategic and creative work – like taking ideas from generative AI and turning them into meaningful content and programs, and strengthening members relationships.
  • Providing insights into community behavior: Generative AI can be used to analyze community data and identify trends and patterns. You can look at trends in member behavior and content consumptions, look for gaps where new content or programs are needed, and use data to create narrative-based dashboards.
  • Creating engaging content: Generative AI can be used to create new content such as blog posts, articles, and videos. As with all generated content, be sure to treat any copy as a first draft, and always proof and edit for clarity, bias, and accuracy.
  • Personalizing the community experience: Generative AI can be used to personalize the community experience for each member. This can be done by recommending content, suggesting friends, and providing targeted support.

Generative AI is still emerging and evolving but community managers should be thinking about how they can thoughtfully deploy it to scale and accelerate their work. Now is the time to research how generative AI can benefit you and your community program.

Want to learn more about the impact of AI on online community management? Check out this post Four AI Prompts for Community Managers or search “AI” in the search tool above! You can also download a free copy of the 2023 State of Community Management research to learn more about current technology and tool trends.

Catherine Hackney on Community Tools

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Community Conversations is a long-running podcast series highlighting community success stories from a wide variety of online community management professionals.

Episode #91 of Community Conversations features Catherine Hackney, Principal at Confident Communities Consulting.

On this special State of Community Management 2022 episode, Catherine and host Anne Mbugua explore:

  • How does thinking about tools affect community work?
  • What does the SOCM 2022 report tell us about community tools?
  • How you can better understand your audience’s needs and expectations.
Catherine Hackney on Community Tools

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Catherine Hackney on Community Tools

About Catherine Hackney

Catherine Hackney is the Principal at Confident Communities Consulting, LLC, a Higher Logic Certified Partner. She is a reliable online community management consultant with nine years of experience. Cathering demonstrates expertise in increasing member engagement and of the Tradewing and Higher Logic platforms. Catherine was the recipient of the Higher Logic MVP award in 2016-2022. Learn more about Catherine.

About The State of Community Management

Now in its 13th year, our annual State of Community Management report provides strategic ideas and tactical benchmarks for global community management professionals.

The State of Community Management 2022 explores the state of the community management industry through the lens of the eight competencies in the Community Maturity Model™.

Each section includes data, ideas, and expert practitioner perspectives to give you new insight into the community management industry. 

Kelly Munro on Content and Programs
Download your free copy of the State of Community Management 2022.

TIL: ChatGPT Doesn’t Want Your Community Jobs

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You can’t login to LinkedIn or open an industry e-newsletter now without getting bombarded with headlines screaming about ChatGPT (and artificial intelligence in general) and how it’s coming for the roles of those in the creative industry. And while the thought leadership in the area seems to swing from one way to the other depending on perspective, one thing no one seems to have done yet is to ask the question of the artificial intelligence (AI) itself. So, that’s just what I decided to do. 

The quick and dirty on ChatGPT

You’ve seen this a million times recently, so I’ll keep it brief. 

  • ChatGPT is an AI — a chatbot, if we’re getting super specific — that was launched in November 2022 and is currently still in its research phase. 
  • Users can create a free profile that allows them to have conversations with the AI on any topic, and those conversations are used to judge the efficacy of the AI for the research team. (They fully breakdown all of the details of how your content is used during the research phase here.) 
  • It’s optimized to sound like a real person because of its use of “Reinforcement Learning with Human Feedback” (RLHF) – a method using human input/feedback to guide the AI on sounding more realistic based on millions of pieces of content being read and tagged by individuals working for the project. (Rolling Stone recently provided some light around the questions around the ethical nature of some RLHF work.) 

Long story short, ChatGPT isn’t connected to the Internet, so the AI isn’t perfect, but it’s fascinating enough work that everyone’s curious about the possibilities.

ChatGPT and 5 community uses

Now I’ll be the first to admit that tackling this project felt a little strange — because it’s essentially talking to a computer — but after trying out its blog writing prowess I decided to just talk with it, similarly to how I would chat with anyone. Ask it questions I’m curious about and see what it has to say.

One of the first things I asked was about its “opinions” on how it should be used for community management work. It came up with the five same ideas in several different ways. 

  1. Automation. Much like with any chatbot, ChatGPT can be set up to answer common questions and concerns that arise in your community. The benefit, directly from the AI itself: “you can free up a lot of time and energy that would otherwise be spent answering the same questions over and over again [a.k.a. Predictive support]. This can also help to ensure a consistent level of customer service, even when you’re not there to respond in real-time.” In other words, it could be a good tool to use for “after hours” assistance, frequently asked questions, triaging issues to connect with real people, etc.
  2. Polls and surveys. Or as ChatGPT put it, “gathering insights and feedback.” Now granted, they didn’t exactly spell out how this can be implemented (they don’t actually give you a lot of instructions on how to install this particular tool — research phase, what can you do?), but it can build polls and surveys which could eventually help you avoid worrying about adding yet another plugin to your community platform. Added bonus, per ChatGPT: “This can also help to build a stronger sense of community, as members feel heard and valued.” 
  3. Content curation. Note, I didn’t say creation. ChatGPT recommends that community managers can use the “bot to search for and share articles, videos, and other resources related to your community’s interests, helping to keep the conversation fresh and relevant. This can also help to increase the sense of community, as members feel like they are part of a larger network of like-minded individuals.” Remember, you’ll still need to do some work on your own as the community manager or moderator after getting the suggestions as the AI is not connected to the Internet, so it can’t provide links. You will still have to make the final call as to whether its suggestions were relevant or not for your community’s purposes.  
  4. Personalization. The explanation around this one was fairly vague, even after asking further questions about what it meant, so I’ll just share its answer directly and then provide my own interpretation.
    From ChatGPT: “AI can also be used to personalize the user experience for members of an online community. By utilizing natural language processing and machine learning, ChatGPT can understand and respond to each member’s unique needs and preferences, building trust and fostering deeper connections.”
    And: “By using natural language processing, I can create a personalized experience for each community member, helping to build trust and foster deeper connections.”
    My thoughts: I guess that the AI is implying that it will be able to take personalization for each person beyond the means of just using personas and hoping you’ve covered the gamut of your community memberships. What that looks like in implementation — especially once the tool is beyond the research phase — I have no idea, but it sounds like you’re still going to need a lot of content and programming available for the bot to pull from.
  5. Enhancing engagement. Again, its explanation was relatively simple — kind of like whenever you use content that was written by ghost writers — but it seemed to boil down to AI’s personalization functionality and how that can lead to a sense of finding one’s people. In its own words, “Finally, AI can help to enhance community engagement by providing members with a more interactive and personalized experience. For example, ChatGPT can be used to facilitate virtual events and activities, bringing members together and fostering a sense of community.”

ChatGPT wants to help community managers

Remember how I said that I tried asking further questions to figure out what ChatGPT meant with some of its more generic answers? Well, that’s how I learned that contrary to what a lot of talking heads are speculating, AI is not here to take our roles. (And no, its answer didn’t sound like one that was coming from a robot planning to go Skynet on us.)

Lindsey: Would something like that be effective if you had a community that numbered in the thousands, for example? And how would you truly be able to personalize the experience for each member, especially those who are less engaged?

ChatGPT: An AI-powered gamification solution can be effective for communities of any size, including those with thousands of members. However, the specifics of how it is implemented will depend on the size and complexity of the community.

As for personalization, AI algorithms can be used to gather data about each member, such as their fitness level, goals, and preferences, and use that information to generate personalized workout programs. For members who are less engaged, the AI algorithm can provide incentives and encouragement to encourage their participation.

It’s worth noting that while AI can help personalize the experience, it’s important to also have human moderators and community managers who can connect with members and address any issues that arise. AI can provide support and automation, but it’s not a replacement for human connection and empathy.

Overall, AI-powered gamification can be a useful tool for increasing engagement in online communities, but its success will depend on the specific implementation and the role of human moderators and community managers in supporting the experience.

Lindsey: Interesting. So you’re even admitting that AI is an imperfect tool and it will still need the human element to make it an effective community tool.

ChatGPT: Yes, that’s correct. AI is a powerful tool that can help automate certain tasks and provide valuable insights, but it’s not a replacement for human interaction and empathy. In online communities, human moderators and community managers play a critical role in fostering a sense of community and addressing the needs and concerns of individual members.

While AI can assist in some aspects of community management, such as gamification and content creation, it’s important to have human oversight and involvement to ensure a positive and supportive experience for all members. The most effective online communities are those that leverage both the power of AI and the human touch of experienced community managers.

Adam Ballhaussen on Technology Integration and Optimization

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Community Conversations is a long-running podcast highlighting community success stories from a wide variety of online community management professionals.

Episode #88 of Community Conversations features Adam Ballhaussen, Senior Director of Customer Education and Advocacy at Docebo.

Adam shares a look at how Docebo leverages Insided’s community solutions alongside other internal systems and offers advice for creating holistic community initiatives. We also chat about using online community programs for support, knowledge base, and product outcomes.

Adam Ballhausen

This episode is sponsored by Insided. Learn more about Insided.

Adam Ballhaussen on Technology Integration and Optimization

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About Adam Ballhausen

Adam’s approach to building Customer Education and Advocacy programs that get results is to be an empathetic leader, a diligent student, and an inspired visionary – in that order.

He’s a seasoned CEd & Advocacy leader, passionate about building communities and creating intuitive learning experiences that delight customers. As a lifelong learner, he has a knack for making complex concepts easy and fun to learn. With a background in marketing strategy and design – and an immense, admittedly geeky, love for technology – he builds learning experiences that work.

About Docebo

Docebo is redefining the way enterprises leverage technology to create and manage content, deliver training, and understand the business impact of their learning experiences. With Docebo’s multi-product learning suite, enterprises around the world are equipped to tackle any learning challenge and create a successful learning culture within their organization.

Check out more podcasts from the Community Conversations series: