AI-Powered Meeting Assistant for Professionals
Rather than hurrying to build a product modeled after Otter.ai or Fireflies.ai, let's first explore who our users are and understand their specific needs.
Market positioning of AI note-taking solutions
Established player with strong brand recognition extensive integrations with video conferencing platforms.
AI-powered with focus on CRM integrations Growing rapidly in the B2B space.
Chrome Extension that can transcribe and summarize across G-Meet, WebEx, Teams.
Comprehensive feature comparison across major AI meeting assistant platforms
To further inform our initial hypothesis, let us roll out a survey and get some insights from users.
Based on our survey results, we developed initial hypotheses to guide our first round of user interviews.
To understand the various types of users who uses AI note taking applications for there interviews
Based on survey results for the first round of interviews
We believe Students
will value real-time transcription and summarization of lectures to aid in studying and preparing for exams.
We believe Professionals
are making Meeting notes (MoM), Action Points, integration of system (CRM system or zoom, teams collaboration tools), save on the cost for the Tran scripters (multiple languages - translators)
We believe Legal professionals
need highly accurate and secure transcription services to ensure compliance and efficiency.
We believe Healthcare professionals
require secure and accurate note-taking tools to improve patient care and record-keeping.
We believe Marketing professionals
need efficient note-taking tools to capture ideas and plan campaigns effectively.
We believe Consulting professionals
require accurate and organized notes to provide effective solutions and recommendations to clients.
We believe Recruiting professionals
need note-taking tools to streamline the hiring process through better note sharing and refinement of candidate assessments.
We used the Mom's Test approach to create questions that elicit honest, unbiased responses by focusing on past behaviors and experiences rather than hypothetical scenarios.
Based on interviews with a range of professionals, we will identify their Jobs To Be Done and prioritise JTBDs.
We will now assess our findings from the interviews and create JTBDs.
When attending meetings, I want to ensure all key points, action items, and commitments are accurately captured, so I can avoid misunderstandings and ensure accountability.
When conducting multiple meetings, I want to automate the note-taking process, so I can focus on leading discussions and improving team productivity without being distracted by manual documentation.
When preparing for meetings or referencing past discussions, I want to easily retrieve specific information and have a summary of previous discussions at hand, so I can efficiently follow up on action items.
When managing multiple notes, I want to automate the organization and cross-referencing process, so I can easily retrieve relevant information.
When selecting tools for my startup or personal use, I want to choose cost-effective solutions that integrate well with my existing setup, so I can manage expenses effectively and allocate resources to areas that drive growth.
When setting up AI tools for our meetings, I want to customize templates and summaries to fit specific meeting formats, so I can ensure the outputs are relevant and useful for our team's needs.
When using AI tools for note-taking, I want to ensure they are secure and compliant with regulations, so I can protect sensitive information.
When using AI tools for meeting documentation, I want to feel confident that all important details are captured accurately, so I can rely on for future tasks.
When preparing meeting notes, I want to automate routine tasks, so I can reduce the burden of manual documentation and focus on more critical tasks.
When reflecting on past meetings, I want a reliable and searchable record of discussions, so I can feel secure knowing that we have a clear record of commitments and can hold team members accountable.
When conducting team meetings, I want to ensure all discussions are accurately documented, so everyone is aligned and informed, fostering better collaboration.
When interacting with stakeholders and clients, I want to use reliable AI tools for meeting documentation, so I can present a professional image and demonstrate that our startup is organized and efficient.
JTBD | Rank* | Personas |
---|---|---|
Reducing Stress and Manual Effort | 1 | Student, Leader, Working professional |
Capturing Key Points and Action Items | 2 | Leader/Manager, Working professional |
Confidence in Capturing Details | 3 | Healthcare Admin, Leader/Manager, Student, Working Professional |
Ensuring Team Alignment and Collaboration | 4 | Leader/Manager, Student |
Ensuring Security and Compliance | 5 | Leader/Manager, Healthcare Admin |
Automating Note-Taking and organizing | 6 | Leader/Manager, student, healthcare Admin |
*Rank is decided by severity inferred from User Interviews and Market Research
Based on our research and JTBD analysis, we identified two key user personas that represent our primary target audience.
Our research identified two primary user personas who would benefit most from our AI note-taking solution. These personas represent the core users whose needs we'll prioritize in our product development.
To know the painpoints of the shortlisted user personas in depth, we conducted user research again.
Interviewees reported using a variety of tools for collaboration (e.g., Google Docs, Slack, Asana), but many expressed frustration with the current options. Common issues included information silos, lack of updates to shared documents, and difficulties in coordinating across time zones.
When asked about ideal scenarios or "magic wand" solutions, common themes included:
Several interviewees shared experiences where inadequate note-taking or information sharing led to negative outcomes, such as missed deadlines, rework, or embarrassment in front of clients or superiors.
International students and professionals working in global teams highlighted unique challenges related to language barriers and cultural differences in communication styles.
This journey map highlights the key phases, actions, thoughts, feelings, pain points, and opportunities in the meeting note-taking process.
S.No. | Problem | Population | Frequency | Intensity | Urgency | Total |
---|---|---|---|---|---|---|
1 | Note Accuracy and Reliability | 5 | 5 | 5 | 5 | 20 |
2 | Manual Task Tracking | 5 | 5 | 5 | 5 | 20 |
3 | Lack of Flexible Template Customization | 5 | 5 | 5 | 5 | 20 |
4 | Limited Template Availability | 5 | 5 | 5 | 4 | 19 |
5 | Manual Customization Effort | 4 | 5 | 5 | 5 | 19 |
6 | Delayed Task Creation | 5 | 4 | 5 | 5 | 19 |
7 | Inefficient Note Referencing | 5 | 5 | 5 | 4 | 19 |
Let us now assess the painpoints prioritisation from a business perspective.
Rank | Problem | Affected Users | Criticality | Business Impact | Solved/Unsolved | Priority |
---|---|---|---|---|---|---|
1 | Note Accuracy and Reliability | High | High | High | Largely Unsolved | High |
2 | Manual Task Tracking | High | High | High | Largely Unsolved | High |
3 | Lack of Flexible Template Customization | High | High | High | Largely Unsolved | High |
4 | Limited Template Availability | High | High | Medium | Largely Unsolved | Medium-High |
5 | Manual Customization Effort | Medium | High | High | Largely Unsolved | Medium-High |
6 | Delayed Task Creation | High | Medium | High | Largely Unsolved | Medium-High |
7 | Inefficient Note Referencing | High | High | Medium | Largely Unsolved | Medium-High |
After identifying key user painpoints and understanding the business perspective, we developed solution concepts to address the most critical needs.
Comprehensive meeting documentation with management insights and annotations to provide context and highlight important decisions.
Real-time synthesis of meeting content with automatic extraction of action items, decisions, and key discussion points.
Granular access controls to share meeting summaries with specific teams or individuals while maintaining confidentiality.
AI-powered suggestions during meetings and a searchable knowledge base to reference past discussions and decisions.
Instant task creation and communication tools integrated with the note-taking experience to streamline workflow.
Flexible, user-friendly interface for creating and modifying meeting templates to suit different meeting types and team preferences.
Automated alerts and visual dashboards to keep team members informed about meeting outcomes and their responsibilities.
Natural language query system to quickly retrieve specific information from meeting archives with the most current context.
Kano Model to assess right set of features