The introduction of artificial intelligence has revolutionized the creation and delivery of training content. With AI-powered video generators for customer education, SaaS companies can save time, money, and effort.
This case study will discover how, using modern software, Serpstat created an AI-enhanced onboarding video.
User Onboarding with AI-Powered Welcome Videos
The AI is trained on extensive collections of videos to create realistic footage from scratch. As a result, an AI-powered explainer or training video can be created professionally, even without human editing. However, we recommend reviewing all auto-generated videos, whether they were generated by a free or paid AI video generator, for accuracy.
Our case study is based on these brand-new possibilities.
Context and Challenge
We hypothesized that new users struggled to use our platform after signing up for a trial due to the extensive array of available tools. This challenge presented a significant barrier to engagement and user satisfaction.
We needed to test the improvement of the onboarding experience by providing clear initial guidance in video format, reducing early-stage confusion.
Video creation can be a time-consuming and challenging task. Common obstacles to creating more videos include affordability (56%), lack of time (31%), and the effort video creation requires (13%).
Source: RenderForest
That’s why the concept of using AI services for video creation is highly attractive now. According to G2, 75% of video marketers have used artificial intelligence to help them create video content. Let’s find out which advantages and risks it can bring to creators.
Pros and Cons of AI in Video Production
The benefits of using AI in video creation are as follows:
- Personalization. AI content and avatars, in particular, can be tailored as unique digital identities.
- Interactivity. AI videos can have real-time changes, making online interactions more engaging.
- Versatility. AI avatars can be used across different platforms, from social media to gaming.
- Creative freedom. Some AI tools allow users to create unique avatars, offering artistic expression beyond one’s likeness.
- Efficiency. AI reduces the need for expensive recording equipment and professional actors, making high-quality production more accessible to creators with varying budgets.
- Customization. Various accents, tones, and styles can be artificially created to suit specific needs.
- Accessibility. AI voiceovers can make content more accessible to people with visual impairments or reading difficulties.
- Auto-captioning. AI-driven tools automatically generate accurate video captions, improving accessibility for the deaf or hard of hearing and accommodating viewers who prefer muted playback. This technology significantly streamlines the video production process.
- Transcription features. For example, Serpstat tools use AI to parse and transcribe spoken content within videos into text. It enhances the searchability of video content, aiding in SEO efforts, etc.
These benefits enhance personalization, efficiency, and creativity in online presence and content creation. However, disadvantages often involve a lack of ‘human part,’ dependence on data, especially for AI training videos, plus ethical and legal considerations.
Recently, Jennifer Flannery O’Connor and Emily Moxley, Vice Presidents of Product Management at YouTube, revealed the potential and challenges of integrating generative AI into YouTube’s platform. They stated that AI could significantly enhance creativity and viewer experiences on YouTube by generating new forms of content. However, YouTube plans to implement new labels and requirements for AI-generated or altered content. YouTube will introduce processes to handle sensitive AI-generated content, including options for removal requests for content that simulates an identifiable individual’s face or voice without permission.
The platform will also allow music partners to request the removal of AI-generated music that mimics an artist’s voice.
AI Solutions for Video Creation
The Serpstat team decided to implement a welcome video that would play immediately after a user signed up for a trial. This video aimed to demonstrate the platform’s core functionalities and include a solid call to action (CTA) to encourage users to start their first project.
To achieve this efficiently and cost-effectively, we used various AI tools:
- ChatGPT. Used to write the video script and ensure the content was engaging and informative.
- HeyGen. Employed to create a dynamic AI avatar to guide the users through the video, adding a personal touch.
- Veed. Integrated for editing the screen recordings and embedding subtitles, enhancing the video’s clarity and accessibility.
- 11labs. Chosen to generate a realistic voiceover that would resonate well with the audience, making the video more relatable and easier to understand.
Now, we will discuss all of these stages of video production in detail.
How to Make Video Tutorials with AI Software?
AI video generator tools employ machine learning algorithms to transform text, audio, images, or even video avatars into videos.
Source: Trainn
SaaS companies often can’t be bold in using AI video technology due to concerns about accountability and ethics. However, minimizing these risks by carefully planning and controlling is possible.
This planning involves identifying the video’s goal, testing script samples, synthesizing media, and improving quality during the stages mentioned below.
AI Avatar
Avatars play a significant role in engaging audiences in AI-enhanced videos. They create more captivating and relevant experiences. Unlike static videos, AI avatars can engage in dynamic conversations with users. They can simulate human-like dialogue, respond to inputs, and provide information.
Our avatar was mimicking human expressions and gestures:
Compared to traditional video production, AI avatars can be created and deployed more quickly and cheaply. This efficiency allows content to be updated and kept fresh.
While avatars can increase engagement, it’s essential to maintain coherence between the avatar and the content. A lack of authenticity can lead to disbelief in the product or brand, including the possibility of the Uncanny Valley effect appearing.
AI Voiceover
Voiceovers are crucial for video effectiveness. Artificial intelligence can convert text into speech faster than traditional recording. This efficiency is particularly valuable when producing large volumes of content or updating existing materials. Voice generators can produce incredibly realistic voiceovers, mimicking human tonalities and prosodies. This level of quality is essential for maintaining the viewer’s immersion in the content.
You can customize voiceovers, including voice, pitch, speed, and emotion, to match the video’s intended mood and style:
The right tone can evoke the desired emotional response: excitement, trust, or curiosity. This approach eliminated the need for retakes or additional voice recordings, as any required changes could be made within minutes.
Besides, AI voiceovers can be generated in multiple languages, making videos accessible to a global audience. All these benefits ensure that the audience understands the message, which is especially important for educational or instructional content.
AI Auto Caption
Captions might guide the viewer through the video, providing context, which helps deliver the message. Reading captions can improve viewer’s focus and help with information retention, which is particularly beneficial for educational content.
Some notable AI-powered auto-caption generators provide highly accurate subtitles and the ability to translate into over 100 languages. They also offer fast rendering with customizable subtitles. These tools are designed to be user-friendly and can save content creators hours of manual editing.
Training Video Results
The welcome video’s creation, from start to finish, took approximately three hours, demonstrating the efficiency of using AI tools in content production:
This new user onboarding strategy significantly improved initial user engagement. The welcome video helped new users feel more comfortable and confident in navigating the platform, increasing the activation rate of new trial sign-ups.
Furthermore, the AI-driven video creation process proved cost-effective, saving time and resources while delivering high-quality content.
Moving forward, the team plans to refine its onboarding process based on user feedback and explore additional AI functionalities that could enhance other aspects of the customer journey. This case study exemplifies how thoughtful application of technology can directly address user needs.
Conclusion
AI-powered tools have benchmarked how machine learning can enhance customer experience strategies. Our case study proved that it is pivotal in creating high-quality onboarding videos for SaaS due to its efficiency, customization capabilities, and cost-effectiveness.
The best software for video tutorials enhanced with AI can engage the audience, convey the message effectively, and represent the brand positively.
Incorporate AI into your video creation strategies easily with this ready-made framework!
