What is JustToBeDone?
JustToBeDone is a Telegram Mini App designed for product managers. Here's what it does: Analyzes interviews using the JTBD methodology; Transcribes the audio of an interview; Divides the text according to the participants' lines; Sends results in text files.
Problem
Product managers rely on traditional methods for extracting insights from customer interviews. However, these methods can be tedious and time-consuming as they involve manually transcribing audio, segmenting the interview by speakers, and synthesizing insights, which can result in potential errors and consume significant time and resources.
Solution
JustToBeDone is a Telegram Mini App that helps analyze interviews using the JTBD methodology. Users can transcribe audio from interviews, divide text according to participant lines, and receive results in text files, all through a streamlined process within the app.
Customers
Product Managers who require efficient tools for conducting and analyzing customer interviews, typically within companies focused on product development and user experience. They prefer innovative methods and technologies to enhance productivity.
Unique Features
Integration with Telegram as a Mini App, leveraging the widely used platform for ease of access and usability. Utilizes JTBD methodology specifically catered to product managers, providing structured insights from customer interviews.
User Comments
Highly efficient in extracting insights with minimal effort.
Convenient integration with Telegram offers seamless usage.
Product is particularly useful for product managers and UX teams.
JTBD methodology is appreciated for its structured approach.
Some users mention room for improvement in transcription accuracy.
Traction
As of now, specific quantitative metrics about users or revenue are not available. The product is publicly listed on Product Hunt, which suggests it might be an emerging tool still building its user base.
Market Size
The global transcription services market was valued at approximately $19.8 billion in 2021 and is expected to expand due to the increasing demand for efficient and automated speech-to-text solutions across various industries.
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