Retrieval Augmented Generation For Interview Data

Interested in Retrieval Augmented Generation For Interview Data? Check out the dedicated article the Speak Ai team put together on Retrieval Augmented Generation For Interview Data to learn more.

Get insights from your language data - fast and with no code.

Join 100,000+ individuals and teams who rely on Speak Ai to capture and analyze unstructured language data for valuable insights. Streamline your workflows, unlock new revenue streams and keep doing what you love.

Get a 14-day fully-featured trial. No credit card is required.

1 %+
More Affordable Than Leading Alternatives
1 %+
Transcription Accuracy With High-Quality Audio
1 %+
Increase In Transcription & Analysis Time Savings
1 +
Supported Languages (Introducing More Soon!)

Retrieval Augmented Generation For Interview Data: Unlocking the Full Potential of Qualitative Research


In today’s data-driven world, quantitative research methods have taken center stage. However, as researchers, marketers, and organizations, it’s important not to overlook the value of qualitative data. Interview data, in particular, can provide valuable insights that can enhance our understanding of human behavior and decision-making processes. But with large amounts of interview data to analyze, it can become overwhelming and time-consuming. This is where retrieval augmented generation (RAG) comes in, revolutionizing the way we analyze and make sense of interview data. In this article, we’ll explore what interview data is, its benefits, and how RAG can take your qualitative research to the next level.

The Definition of Interview Data

Interview data refers to information collected through in-depth conversations or interviews with individuals or groups. It is a type of qualitative data that allows researchers to gain a deeper understanding of people’s thoughts, feelings, and experiences. Interviews can be structured or unstructured, with the latter being more common in qualitative research. This allows for more flexibility and open-ended responses, providing rich and detailed data.

The Benefits of Analyzing Interview Data

As a researcher, marketer, or organization, there are many benefits to analyzing interview data. Here are a few key ones:

1. Better Understanding of Human Behavior

While quantitative data can provide statistical insights, it lacks the richness and depth that interview data can offer. By analyzing interview data, researchers can gain a better understanding of the underlying motivations, attitudes, and beliefs that drive human behavior. This can be invaluable in making informed decisions and creating effective strategies.

2. Identifying Emerging Trends and Patterns

Interview data can also help identify emerging trends and patterns that may not be apparent in quantitative data. By analyzing the responses of multiple participants, researchers can uncover common themes and patterns, providing a more comprehensive picture of a particular phenomenon.

3. Personalization and Targeting

Interview data can also play a crucial role in personalization and targeting. By understanding the needs, preferences, and behaviors of target audiences, marketers can create more targeted and effective campaigns. This can lead to better customer engagement and higher conversion rates.

The Limitations of Traditional Analysis Methods

While interview data can provide valuable insights, traditional analysis methods have their limitations. Manually analyzing large amounts of data can be time-consuming and prone to human biases. This can result in missing key insights or misinterpreting data. Moreover, traditional analysis methods can also be challenging to replicate, making it difficult to validate findings. This is where retrieval augmented generation comes in.

What is Retrieval Augmented Generation (RAG)?

Retrieval augmented generation (RAG) is a powerful natural language processing (NLP) technique that combines the strengths of both retrieval-based and generative models. It is a form of semi-supervised learning, where a large language model is used to generate responses based on input from a smaller retrieval-based model. This allows for a more efficient and accurate analysis of interview data.

The Advantages of RAG for Analyzing Interview Data

1. Speed and Efficiency

RAG significantly speeds up the analysis process. By using a large language model to generate responses, it eliminates the need for manual analysis, saving time and effort. This allows researchers to analyze larger amounts of data in a shorter time frame, without compromising on accuracy.

2. Reduced Bias

As RAG uses a large language model to generate responses, it reduces the risk of human bias. This allows for a more objective analysis of interview data, ensuring that all key insights are considered.

3. Reproducibility and Validity

RAG also allows for greater reproducibility and validity of findings. As the model can be trained on a larger dataset, it is more accurate in generating responses, making it easier to replicate results.

How RAG Can Enhance Your Qualitative Research

RAG can enhance your qualitative research in many ways. Here are a few examples:

1. Automated Coding

RAG can be used to automate the coding process, allowing for quicker and more accurate analysis of interview data. This can save researchers significant amounts of time and effort, allowing them to focus on other aspects of their research.

2. Data Visualization

RAG can also be used to create visualizations of interview data, making it easier to identify patterns and trends. This can provide a more intuitive and comprehensive understanding of the data, allowing for better decision-making.

3. Personalization and Targeting

By using RAG to analyze interview data, marketers can gain a better understanding of their target audience’s language and preferences. This can be leveraged to create more personalized and targeted marketing campaigns, leading to higher engagement and conversions.

In Conclusion

Interview data is a valuable source of information that can provide insights into human behavior, emerging trends, and personalization opportunities. However, traditional analysis methods have their limitations, which is where retrieval augmented generation comes in. By combining the power of retrieval-based and generative models, RAG can enhance the efficiency, accuracy, and reproducibility of analyzing interview data. As a researcher, marketer, or organization, incorporating RAG into your qualitative research can unlock the full potential of interview data and take your insights to the next level.

How To Use Speak’s Retrieval Augmented Generation For Interview Data

Step 1: Create Your Speak Account

To start your transcription and analysis, you first need to create a Speak account. No worries, this is super easy to do!

Get a 14-day trial with 30 minutes of free audio and video transcription and analysis included when you sign up for Speak.

To sign up for Speak and start using Speak Magic Prompts with retrieval augmented generation, just visit the Speak app register page here.

Step 2: Upload Your Interview Data

We typically recommend MP4s for video or MP3s for audio.

However, we accept a range of audio, video and text file types.

You can upload your file for transcription in several ways using Speak:

Accepted Audio File Types

  • MP3
  • M4A
  • WAV
  • OGG
  • WEBM
  • M4P

Accepted Video File Types

  • MP4
  • M4V
  • WMV
  • AVI
  • MOV
  • FLV

Accepted Text File Types

  • TXT
  • Word Doc
  • PDF

CSV Imports

You can also upload CSVs of text files or audio and video files. You can learn more about CSV uploads and download Speak-compatible CSVs here.

With the CSVs, you can upload anything from dozens of YouTube videos to thousands of Interview Data files.

Publicly Available URLs

You can also upload media to Speak through a publicly available URL.

As long as the file type extension is available at the end of the URL you will have no problem importing your recording for automatic transcription and analysis.

YouTube URLs

Speak is compatible with YouTube videos. All you have to do is copy the URL of the YouTube video (for example,

Speak will automatically find the file, calculate the length, and import the video.

If using YouTube videos, please make sure you use the full link and not the shortened YouTube snippet. Additionally, make sure you remove the channel name from the URL.

Speak Integrations

As mentioned, Speak also contains a range of integrations for Zoom, Zapier, Vimeo and more that will help you automatically transcribe your media.

This library of integrations continues to grow! Have a request? Feel encouraged to send us a message.

Step 3: Calculate and Pay the Total Automatically

Once you have your file(s) ready and load it into Speak, it will automatically calculate the total cost (you get 30 minutes of audio and video free in the 14-day trial – take advantage of it!).

If you are uploading text data into Speak, you do not currently have to pay any cost. Only the Speak Magic Prompts analysis would create a fee which will be detailed below.

Once you go over your 30 minutes or need to use Speak Magic Prompts, you can pay by subscribing to a personalized plan using our real-time calculator.

You can also add a balance or pay for uploads and analysis without a plan using your credit card.

Step 4: Wait for Speak to Analyze Your Interview Data

If you are uploading audio and video, our automated transcription software will prepare your transcript quickly. Once completed, you will get an email notification that your transcript is complete.

That email will contain a link back to the file so you can access the interactive media player with the transcript, analysis, and export formats ready for you.

If you are importing CSVs or uploading text files Speak will generally analyze the information much more quickly.

Speak will automatically embed your data in a well-architected vector database which allows you to use retrieval augmented generation for Interview Data.

Step 5: Visit Your File Or Folder

Speak is capable of analyzing both individual files and entire folders of data.

When you are viewing any individual file in Speak, all you have to do is click on the “Prompts” button.

If you want to analyze many files, all you have to do is add the files you want to analyze into a folder within Speak.

You can do that by adding new files into Speak or you can organize your current files into your desired folder with the software’s easy editing functionality.

Step 6: Select Speak Magic Prompts To Analyze Your Interview Data

What Are Magic Prompts?

Speak Magic Prompts leverage innovation in artificial intelligence models often referred to as “generative AI”.

These models have analyzed huge amounts of data from across the internet to gain an understanding of language.

With that understanding, these “large language models” are capable of performing mind-bending tasks!

With Speak Magic Prompts, you can now perform those tasks on the audio, video and text data in your Speak account.

Retrieval augmented generation is what makes these Magic Prompts work so well.

Step 7: Select or Create Your Assistant Type

To help you get better results from Speak Magic Prompts, Speak has introduced “Assistant Type”.

These assistant types pre-set and provide context to the prompt engine for more concise, meaningful outputs based on your needs.

To begin, we have included:

  • General
  • Researcher
  • Marketer
  • Sales
  • Recruiter

Choose the most relevant assistant type from the dropdown.

You can also create your own custom Assistant Template Type.

If you visit the new page Account Preferences, you can see there is now an area where you can create your own custom Assistant.

This allows you to set the context of the engine for higher quality and more consistent outputs.

For example, you could say:

“We are [COMPANY NAME]. We are analyzing [DATA] to understand how to improve [GOAL]. We want all responses to be concise and in table format.”.

This becomes a reusable template in any of your manual or automated Magic Prompts.

You can create multiple templates for different use cases.

As an example, the analysis you run on a focus group may be different than a one-on-one interview.

Step 8: Create Or Select Your Desired Prompt

Here are some examples prompts that you can apply to any file right now:

  • Create a SWOT Analysis
  • Give me the top action items
  • Create a bullet point list summary
  • Tell me the key issues that were left unresolved
  • Tell me what questions were asked

A modal will pop up so you can use the suggested prompts we shared above to instantly and magically get your answers.

If you have your own prompts you want to create, select “Custom Prompt” from the dropdown and another text box will open where you can ask anything you want of your data!

Step 9: Review & Share Responses

Speak will generate a concise response for you in a text box below the prompt selection dropdown. With Chat enabled, you can also continue to query that data to reveal more insights and reformat the information to your needs.

In this example, we ask to analyze all the Interview Data in the folder at once for the top product dissatisfiers.

You can easily copy that response for your presentations, content, emails, team members and more!

Speak Magic Prompts Pricing

Our team at Speak Ai continues to optimize the pricing for Magic Prompts and Speak as a whole.

Right now, anyone in the 14-day trial of Speak gets 100,000 characters included in their account.

If you need more characters, you can easily include Speak Magic Prompts in your plan when you create a subscription.

You can also upgrade the number of characters in your account if you already have a subscription.

Both options are available on the subscription page.

Alternatively, you can use Speak Magic Prompts by adding a balance to your account. The balance will be used as you analyze characters.

Completely Personalize Your Plan 📝

Here at Speak, we’ve made it incredibly easy to personalize your subscription.

Once you sign up, just visit our custom plan builder and select the media volume, team size, and features you want to get a plan that fits your needs.

No more rigid plans. Upgrade, downgrade or cancel at any time.

Claim Your Special Offer 🎁

When you subscribe, you will also get a free premium add-on for three months!

That means you save up to $50 USD per month and $150 USD in total.

Once you subscribe to a plan, all you have to do is send us a live chat with your selected premium add-on from the list below:

  • Premium Export Options (Word, CSV & More)
  • Custom Categories & Insights
  • Recorder Customization (Branding, Input & More)
  • Media Player Customization
  • Shareable Media Libraries

We will put the add-on live in your account free of charge!

What are you waiting for?

Refer Others & Earn Real Money 💸

If you have friends, peers and followers interested in using our platform, you can earn real monthly money.

You will get paid a percentage of all sales whether the customers you refer to pay for a plan, automatically transcribe media or leverage professional transcription services.

Use this link to become an official Speak affiliate.

Check Out Our Dedicated Resources📚

Book A Free Implementation Session 🤝

It would be an honour to personally jump on an introductory call with you to make sure you are set up for success.

Just use our Calendly link to find a time that works well for you. We look forward to meeting you!

Get insights from your language data - fast and with no code.

Join 100,000+ individuals and teams who rely on Speak Ai to capture and analyze unstructured language data for valuable insights. Streamline your workflows, unlock new revenue streams and keep doing what you love.

Get a 14-day fully-featured trial. No credit card is required.

Don’t Miss Out.

Transcribe and analyze your media like never before.

Automatically generate transcripts, captions, insights and reports with intuitive software and APIs.