The document discusses the development of a real-time note-taking solution using speech-to-text (STT) technology. It outlines planning the project in three sprints, with the first sprint focusing on adjusting the STT model and extracting features to reduce cognitive load for sales representatives. Key features would allow for live captioning, handling multiple speakers, and capturing intentions and insights before and after meetings. Success would be measured by increases in notes, sales, and customer satisfaction along with reductions in errors and preparation time.

1. Real-time note-
taking
By Tal Elor

2. Agenda
• Task preparation
• The solution – STT
• Work Process Steps
• Features
• Planning Three Sprints
• Feature Extraction
• First Sprint
• Measuring Success

3. Task preparation
Dividing the task into parts
Identify the problem
Cognitive load
Target Market
Salespeople
The goal
Increasing Monthly
or Annual Revenue
The solution
Real-time note-taking

4. The solution - STT
Assumptions For Speech To Text
✔ We have the right AI model for STT
✔ Our data is already labeled
✔ JTBD – Make an adjustment for our
solution

5. Work Process Steps
Defining the
problem
Features
Requirement
s
Collect
Data
Data
Preparation
01 02
03 04
Train the
algorithms
Evaluate the
model's
performance
05 06

6. Features
Vocabulary
editing
05
Handles multiple
speakers
04
Easy to use
Live captioning
03
02
Intention before and
after the meeting
01

7. Planning Three Sprints
#1 Data preparation
Feature Extraction
#2 Train the algorithms.
#3 Evaluate the model's performance

8. Feature Extraction
Once we understand that an STT product exists in the
market, we need to adjust the model for our need.
Therefore, feature extraction can reduce the most the
sales rep's cognitive load during a demo call
After completing the model accuracy, we will move on
to features that will no longer be just "nice to have"

9. First Sprint
Features For Model Adjustment
Before the meeting
• Keywords
• Number of participants
• Topics
After the meeting
• Insights
• Term frequency
• Create automatically a
user journey

10. Measuring Success
❑ Keyword triggers
❑ Number of notes
❑ Quality insights
❑ Increase in product sales
❑ Customer satisfaction
❑ Decrease in the amount of "human"
errors in the session
❑ Adherence to the schedule of the
meeting
❑ Quality meeting summaries
❑ Reduce preparation time before / after
the meeting
Assumption
✔ We have data on the meetings before using the
product

11. CREDITS: This presentation template was
created by Slidesgo, including icons by Flaticon,
infographics & images by Freepik and
illustrations by Storyset
Thanks!
Tal Elor
Tale299@gmail.com