Harnessing Video Feedback for Business Insights
Learn how companies can benefit from user feedback in videos.
― 6 min read
Table of Contents
Videos are becoming an essential tool for companies to gather feedback from users. Platforms like TikTok and YouTube are very popular for this purpose since they allow people to express their views on products and services through engaging content. This article examines how companies can benefit from User Feedback found in videos on these platforms.
The Challenge of Extracting Feedback
While videos can provide valuable insights, going through large amounts of content to find useful feedback can be very difficult. The sheer volume of videos, coupled with the variety of opinions shared, can overwhelm organizations trying to understand customer needs. This study focuses on how TikTok and YouTube can be utilized to easily identify relevant user feedback.
Analyzing Videos
In the study, we looked at 6,276 videos covering different products from various industries. This included analyzing the audio from the videos, any visual text present in them, and the metadata, such as titles and descriptions. The goal was to determine how many videos contained information that could help companies understand user needs.
We used advanced computer models to classify the videos. Out of the total videos we examined, 3,097 were identified as containing relevant feedback. This feedback was then grouped into themes, showing common topics that users discussed, such as product ratings, bugs, and usage tips.
Importance of User Feedback
Gathering user feedback is crucial for companies that want to improve their products. Videos on TikTok and YouTube serve as rich sources of information. Users often share their experiences, opinions, and suggestions in a very relatable way. By analyzing these videos, companies can gain deeper insights into what their customers think and need.
How Videos Help
Videos provide a more immersive experience compared to traditional feedback methods like surveys or text reviews. They allow viewers to see products in action, giving context that simple words cannot convey. For instance, a video showing how a specific software feature works can provide clarity that written descriptions might lack.
Methodology
To make our findings reliable, we designed a structured approach. We started by selecting popular products across different categories, including software, electronics, and automobiles. We then used public APIs from TikTok and YouTube to collect videos related to these products.
After collecting the videos, we filtered out any promotional content to ensure that the feedback came from real users. The final dataset consisted of 6,276 videos after we ensured they were in English and not official product advertisements.
Extracting Information from Videos
We employed methods to extract meaningful information from the videos. For audio, we used a speech recognition technology to turn spoken words into text. We also captured visual text that appeared in videos, such as captions or titles, to get a fuller picture of user feedback.
By combining audio and visual information, we aimed to classify each video as either containing relevant user feedback or not. This classification relied on advanced machine learning techniques, which allowed us to analyze large datasets efficiently.
Findings
Our analysis revealed several important themes among the feedback collected from the videos. These themes included:
Product Ratings: Users often shared their views on product features, design, and performance. This type of feedback is crucial for companies looking to improve their offerings.
Bug Reports: Many videos contained users discussing issues they faced with a product. These insights are valuable for identifying problems that need fixing.
Usage Tutorials: Some users created videos to help others navigate products better. This type of content can shed light on user experiences and highlight areas where companies can improve usability.
Comparative Reviews: Videos comparing products to competitors can help organizations understand their position in the market.
Modification Suggestions: Users also shared ideas for improvements or additions to products, which can inspire future development efforts.
The Role of Each Platform
TikTok and YouTube offer different benefits and challenges when it comes to gathering feedback.
YouTube
YouTube videos tend to be longer, providing users more time to delve into details. This format allows for in-depth reviews and explanations about product features and problems. Companies can find a wealth of information to help them understand user preferences and needs from YouTube.
TikTok
In contrast, TikTok videos are typically short and fast-paced. However, they often include a lot of visual text, which can enhance the audio feedback. This makes TikTok videos particularly engaging and can sometimes lead to a higher number of views. Despite their brevity, TikTok videos can still offer valuable insights through user commentary.
Implications for Companies
The findings from the study indicate that companies should consider incorporating video feedback into their product development processes. By analyzing user-generated content from TikTok and YouTube, organizations can better understand their customers' needs and concerns, leading to more customer-oriented improvements.
Companies can implement a structured approach similar to the one used in this study. This includes setting up processes for collecting, analyzing, and acting on video feedback. As technology improves, the ability to analyze large volumes of video content will also become easier, making it an even more attractive option for gathering user insights.
Summary of the Results
The analysis showed that videos from both platforms provide a wealth of information that can be categorized into relevant themes, helping companies identify areas for improvement. While YouTube videos tend to provide more in-depth information, TikTok offers a rapid format that can engage users effectively. Both platforms have unique strengths that companies can leverage to gain insights into user feedback.
Next Steps for Businesses
To benefit from video feedback, organizations can start by:
Building a Data Pipeline: Creating a system to regularly collect videos from TikTok and YouTube will help keep the feedback fresh and relevant.
Investing in Analysis Tools: Companies should invest in tools that allow them to efficiently extract and analyze audio and visual data from videos.
Training Staff: Providing training on how to interpret and act on the insights gathered from video content can further enhance the efficacy of the feedback process.
Encouraging User Engagement: Companies can also promote user-generated content related to their products, fostering a community around their brand.
Conclusion
As video content continues to grow in popularity, companies have an opportunity to harness it for valuable insights. User feedback found in videos on TikTok and YouTube can significantly enhance product development efforts. By focusing on this feedback, organizations can ensure they are meeting user needs and staying competitive in today's fast-paced market.
In incorporating video-based feedback into their practices, companies can better understand their customers and make informed decisions that lead to improved products and services.
Title: A Data-Driven Approach for Finding Requirements Relevant Feedback from TikTok and YouTube
Abstract: The increasing importance of videos as a medium for engagement, communication, and content creation makes them critical for organizations to consider for user feedback. However, sifting through vast amounts of video content on social media platforms to extract requirements-relevant feedback is challenging. This study delves into the potential of TikTok and YouTube, two widely used social media platforms that focus on video content, in identifying relevant user feedback that may be further refined into requirements using subsequent requirement generation steps. We evaluated the prospect of videos as a source of user feedback by analyzing audio and visual text, and metadata (i.e., description/title) from 6276 videos of 20 popular products across various industries. We employed state-of-the-art deep learning transformer-based models, and classified 3097 videos consisting of requirements relevant information. We then clustered relevant videos and found multiple requirements relevant feedback themes for each of the 20 products. This feedback can later be refined into requirements artifacts. We found that product ratings (feature, design, performance), bug reports, and usage tutorial are persistent themes from the videos. Video-based social media such as TikTok and YouTube can provide valuable user insights, making them a powerful and novel resource for companies to improve customer-centric development.
Authors: Manish Sihag, Ze Shi Li, Amanda Dash, Nowshin Nawar Arony, Kezia Devathasan, Neil Ernst, Alexandra Albu, Daniela Damian
Last Update: 2023-07-24 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2305.01796
Source PDF: https://arxiv.org/pdf/2305.01796
Licence: https://creativecommons.org/licenses/by-nc-sa/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to arxiv for use of its open access interoperability.