If you had a list of notes, what would you want to know about the notes without having to open them up and read them?
There is so much we can do with AI to improve our understanding of our notes, journals, media and more! Here are a few examples we’ve brainstormed and are building into our platform:
– The overall sentiment of the note
– Most popular or unique keywords and topics
– People/number of people mentioned
– Places/number of places mentioned
– Brands/number of brands mentioned
– Time spent creating note
– The location where the note was created
– New words that have never been seen before
– The weather when the note was created
Some awesome updates to share on this soon. We are also adding real-time analysis to text (audio and video will come too 😊) so as you write you will immediately get contextual insights that can help guide you.
Today we launched Speak V2.6! This is a huge update for us that we’ve been working on for quite some time.
Here are a few things I’d love to highlight:
Text Game Strong
The text module is now live! Text analysis will be coming soon along with some incredible contextual technology to help you write and create. The text module is part of the main Speak platform which means you can access it for free! What type of analytics would you like to see in your text? We’d love to hear what you think!
Convert to Text
Instantly turn your transcription into text directly within our software for further editing, analysis, and sharing.
This a vision we’ve had for a long time. We’ve always aimed to go beyond transcription to help users deal with multiple mediums within one intuitive platform. We believe this feature and the new text editor are huge pieces in that puzzle.
Wordcloud & Frequency
We have separated the word clouds out into keywords, topics, brands, and labels. Above I shared the results from the last month in my personal account. I had some amazing days documenting audio notes and then analyzing them after in preparation to get these insights. For me, the system has become a powerful tool for deep work. We can’t wait to hear some of the insights you get from your own notes!
Additionally, you can now hover over the word cloud items to see exactly how many times they were mentioned or appeared. This opens up so many possibilities for displaying the data in different valuable forms.
As we’ve added the ability to visualize our data we’ve had some super interesting insights. The question becomes: how can we make this information even more valuable? If you had a month of recorded notes and conversations, what would you want to know? Our team has been brainstorming and getting some amazing ideas from people. Here are a few of them:
Words you started saying or stopped saying
Your most positive and negative words/phrases/sentences
The brands/people/locations you mentioned
Words/people/places connected with positive or negative sentiment
Commonly used words with synonyms to improve vocabulary
Your most positive and negative days/weeks/times of day
A list of the questions you asked
Your average speaking pace
How many words you spoke and wrote
How many minutes of audio and video you captured and analyzed
A comparison with the previous month/month of the previous year
Highlights based on customized trigger words/phrases
There are so many possibilities! If you have any thoughts on this, we’d absolutely love to hear.
If you are in an audio or video note all you have to do is hit “Action” and “Summary” and you will get a summary of the audio or video. We believe this is an awesome way to get a quick snapshot of your audio and video content. Text summarization will be coming soon!
Upload video or audio and instantly filter through the transcript by the most positive or negative sentences. This has been an absolute joy to use. We have some models doing audio/visual analysis but they are still a bit rudimentary. This video specifically shows the text analysis from the transcription! As the audio and visuals models improve we’ll add them in this interface which will be really exciting. You will also see this populate in the dashboard soon so you can see the most positive and negative moments across all notes in different time periods!
We have also added an intuitive chart to help you navigate through!
We’ve added a little feedback mechanism to train our system in several areas! If you find the sentiment analysis and summary accurate let us know! We’ll be adding ways to provide feedback throughout the entire application and just want to keep making the platform better for you.
This is not part of the official launch but we put some work into updating our website this week! To be frank, it was extremely slow. It also had a lot of content that wasn’t necessarily organized in the best way. We hope with the work we’ve done you find the website a quicker and more enjoyable experience.
Thank you as always for following our journey! If you’re interested in using the platform sign up today here! ♥
Conversation is one, if not the most, powerful tools for human growth.
From Socratic dialogues to prime-time talk shows, we learn from asking each other questions, and there’s nowhere conversation is more highly valued than the world of qualitative research.
In fact, it could be posited that all conversation is qualitative research in some regard. Isn’t the transfer of knowledge and information at the root of all communication? What is listening but gathering important data?
Ok, while I would love to spend my time writing about the semantics and epistemology of human communication – what we’re really here to do is talk about why you, as a researcher, should be recording interviews.
Let’s start with an easy one.
Accuracy Is Invaluable
The tradition of using interviews as research tools is a long one. It seems like common sense that if you want to know what people think or feel about a particular subject, the best way to find out is to ask them. What may not be so obvious is the importance of analyzing the intricacies of human speech.
If you’re relying solely on note-taking to gather data during an interview you’re almost guaranteed to miss important details like word repetition, tonal shifts, and meaningful silences. By creating an audio recording of your interview you’re able to parse and analyze data you didn’t realize was there in the first place.
This takes us to the next set of benefits in recording research interviews.
Consider Questions of Accessibility
Audio recording, specifically digital recording, creates a piece of flexible media. Once you’ve finished the work of conducting your interviews you need to make sure that you can use it properly. Recordings are easily transferrable, storable and translatable. An audio recording can be transcribed into a text document, and likewise so can the conversational metadata.
The flexibility of audio recordings creates information that can be shared with anyone, anywhere. More and more we’re realizing that effective research depends on taking an interdisciplinary approach. Having accessible and translatable source material makes this easier.
So, we’ve talked about why recordings are so valuable after the fact, let’s take a second to look at why they’re important to the interview process itself.
Setting the Stage for Better Conversations
Being a successful interviewer requires many of the same skills you need to have meaningful conversations with people in your life. One of the most important considerations to keep in mind when you’re conducting an interview is to make sure everyone’s comfortable. If you’re obviously taking notes whenever your subject speaks, you’re almost guaranteeing a level of discomfort.
Audio recording is usually significantly less intrusive than note-taking. Recording the interview can make your subject feel more comfortable, and create a venue for them to fully express themselves. All of this leads to you getting the highest quality possible data set out of your research.
So, What’s the Takeaway Here?
There is an infinite list of reasons why you should be recording interviews. At the end of the day, it’s one of the easiest steps you can take to improve your overall research.
Here at Speak we’re always striving to create innovative tools for researchers across all disciplines, click here to learn more.
Speak enables users to track brand mentions in spoken in audio and displayed on the screen in the video. Brand extraction from text will also be coming.
Why Did We Build This Feature?
It is important to understand when brands are being mentioned. Brands have a lot of meaning. You can find when people are mentioning your own brand or competitors. With Speak, we continue to add better ways to analyze the insights that are coming out of audio and video. You can use Speak to track the frequency, density, and sentiments of your and other brands by simply recording, uploading, or writing.
Who Is This Feature For?
How Do I Start Using This Feature?
In order to start easily extracting brands from audio and video, and soon text, all you need to do is sign up for Speak. You will get access to an easy dashboard where you can upload audio and video. After analysis, the video and audio will be returned with the transcription, insights, and analytics in an interactive player that you can quickly navigate through and comprehend.