0 → 1 development
0 → 1 development
0 → 1 development
0 → 1 development
We started Meander as a mentorship platform for people in tech who are curious and eager to grow. Guided by the principles of lean startups, we started small, moved fast, listened closely to our users, and iterated constantly.
We started Meander as a mentorship platform for people in tech who are curious and eager to grow. Guided by the principles of lean startups, we started small, moved fast, listened closely to our users, and iterated constantly.
We started Meander as a mentorship platform for people in tech who are curious and eager to grow. Guided by the principles of lean startups, we started small, moved fast, listened closely to our users, and iterated constantly.
ideation
To validate our core hypothesis, we started with a simple chatbot. Users could post learning requests, and mentors could respond and connect if they saw a fit.
As demand grew, the chatbot’s functionality became insufficient. This traction confirmed the need to scale up and build a platform where people in tech could easily find experienced mentors ready to share their knowledge.
our goal
Our goal was to create an MVP platform that could scale our user base organically by eliminating the friction and limitations of the chatbot experience.
opportunity analysis
During the research phase, we dove deep into user feedback, conducted thorough market analysis, and developed high-level concepts. We validated our scope and offering through qualitative user sessions, ensuring alignment with user needs and market gaps.
ideation & process
ideation & process
ideation
ideation
ideation
To validate our core hypothesis, we started with a simple chatbot. Users could post learning requests, and mentors could respond and connect if they saw a fit.
As demand grew, the chatbot’s functionality became insufficient. This traction confirmed the need to scale up and build a platform where people in tech could easily find experienced mentors ready to share their knowledge.
To validate our core hypothesis, we started with a simple chatbot. Users could post learning requests, and mentors could respond and connect if they saw a fit.
As demand grew, the chatbot’s functionality became insufficient. This traction confirmed the need to scale up and build a platform where people in tech could easily find experienced mentors ready to share their knowledge.
To validate our core hypothesis, we started with a simple chatbot. Users could post learning requests, and mentors could respond and connect if they saw a fit.
As demand grew, the chatbot’s functionality became insufficient. This traction confirmed the need to scale up and build a platform where people in tech could easily find experienced mentors ready to share their knowledge.
our goal
our goal
our goal
Our goal was to create an MVP platform that could scale our user base organically by eliminating the friction and limitations of the chatbot experience.
Our goal was to create an MVP platform that could scale our user base organically by eliminating the friction and limitations of the chatbot experience.
Our goal was to create an MVP platform that could scale our user base organically by eliminating the friction and limitations of the chatbot experience.
opportunity analysis
opportunity analysis
opportunity analysis
During the research phase, we dove deep into user feedback, conducted thorough market analysis, and developed high-level concepts. We validated our scope and offering through in-depth user interviews, ensuring alignment with user needs and market gaps.
During the research phase, we dove deep into user feedback, conducted thorough market analysis, and developed high-level concepts. We validated our scope and offering through in-depth user interviews, ensuring alignment with user needs and market gaps.
During the research phase, we dove deep into user feedback, conducted thorough market analysis, and developed high-level concepts. We validated our scope and offering through in-depth user interviews, ensuring alignment with user needs and market gaps.
service structure
Our initial scope included three key components:
Mentor Interface, to collect information about mentor expertise and interests.
Learner Interface, to provide tailored recommendations for learners based on their goals.
Admin Panel, to monitor algorithm performance, analyze recommendations, and enable experiments to optimize matching experience.
Close collaboration with the Engineering team and CEO ensured alignment on priorities and seamless feedback collection during the launch phase.
continuous learning
We maintained an iterative approach, leading continuous user research to prioritize features that improved the mentor-learner connection. This process ensured the platform consistently evolved to meet user needs.
service structure
service structure
service structure
Our initial scope included three key components:
Mentor Interface, to collect information about mentor expertise and interests.
Learner Interface, to provide tailored recommendations for learners based on their goals.
Admin Panel, to monitor algorithm performance, analyze recommendations, and enable experiments to optimize matching experience.
Close collaboration with the Engineering team and CEO ensured alignment on priorities and seamless feedback collection during the launch phase.
Our initial scope included three key components:
Mentor Interface, to collect information about mentor expertise and interests.
Learner Interface, to provide tailored recommendations for learners based on their goals.
Admin Panel, to monitor algorithm performance, analyze recommendations, and enable experiments to optimize matching experience.
Close collaboration with the Engineering team and CEO ensured alignment on priorities and seamless feedback collection during the launch phase.
Our initial scope included three key components:
Mentor Interface, to collect information about mentor expertise and interests.
Learner Interface, to provide tailored recommendations for learners based on their goals.
Admin Panel, to monitor algorithm performance, analyze recommendations, and enable experiments to optimize matching experience.
Close collaboration with the Engineering team and CEO ensured alignment on priorities and seamless feedback collection during the launch phase.
process
Through extensive alpha and beta testing, we iterated on the product, gradually enhancing functionality. Our user base grew organically, reaching thousands through word-of-mouth.
Within six months, we launched a platform that connected learners with motivated experts from around the world.
continuous learning
continuous learning
continuous learning
We maintained an iterative approach, leading continuous user research to prioritize features that improved the mentor-learner connection. This process ensured the platform consistently evolved to meet user needs.
We maintained an iterative approach, leading continuous user research to prioritize features that improved the mentor-learner connection. This process ensured the platform consistently evolved to meet user needs.
We maintained an iterative approach, leading continuous user research to prioritize features that improved the mentor-learner connection. This process ensured the platform consistently evolved to meet user needs.
process
process
process
Through extensive alpha and beta testing, we iterated on the product, gradually enhancing functionality. Our user base grew organically, reaching thousands through word-of-mouth.
Through extensive alpha and beta testing, we iterated on the product, gradually enhancing functionality. Our user base grew organically, reaching thousands through word-of-mouth.
Through extensive alpha and beta testing, we iterated on the product, gradually enhancing functionality. Our user base grew organically, reaching thousands through word-of-mouth.
mentor experience
ideation & process
learner experience
Finding the right mentor was a major challenge for learners, requiring both a broad network and persuasive skills to secure mentorship. To address this, we developed a matching algorithm that made finding valuable mentorship quick and straightforward.
learner experience
Within six months, we launched a platform that connected learners with motivated experts from around the world.
Within six months, we launched a platform that connected learners with motivated experts from around the world.
Within six months, we launched a platform that connected learners with motivated experts from around the world.
The platform provided personalized matches tailored to learners' goals and career stages. Detailed mentor profiles clarified the type of support mentors could offer. Cross-functional matching also empowered learners to build soft skills from diverse perspectives, unlocking broader opportunities for growth.
Finding the right mentor was a major challenge for learners, requiring both a broad network and persuasive skills to secure mentorship. To address this, we developed a matching algorithm that made finding valuable mentorship quick and straightforward.
Finding the right mentor was a major challenge for learners, requiring both a broad network and persuasive skills to secure mentorship. To address this, we developed a matching algorithm that made finding valuable mentorship quick and straightforward.
Finding the right mentor was a major challenge for learners, requiring both a broad network and persuasive skills to secure mentorship. To address this, we developed a matching algorithm that made finding valuable mentorship quick and straightforward.
For mentors, monetizing their knowledge was a key challenge. Many sought additional revenue streams while gaining meaningful experiences from the process. However, barriers like managing mentorship loads and scheduling were significant hurdles.
The platform provided personalized matches tailored to learners' goals and career stages. Detailed mentor profiles clarified the type of support mentors could offer. Cross-functional matching also empowered learners to build soft skills from diverse perspectives, unlocking broader opportunities for growth.
The platform provided personalized matches tailored to learners' goals and career stages. Detailed mentor profiles clarified the type of support mentors could offer. Cross-functional matching also empowered learners to build soft skills from diverse perspectives, unlocking broader opportunities for growth.
The platform provided personalized matches tailored to learners' goals and career stages. Detailed mentor profiles clarified the type of support mentors could offer. Cross-functional matching also empowered learners to build soft skills from diverse perspectives, unlocking broader opportunities for growth.
mentor experience
To simplify scheduling, we enabled mentors to connect multiple calendars and set session rules directly on the platform. This streamlined time management, allowing mentors to focus on meaningful interactions.
For mentors, monetizing their knowledge was a key challenge. Many sought additional revenue streams while gaining meaningful experiences from the process. However, barriers like managing mentorship loads and scheduling were significant hurdles.
For mentors, monetizing their knowledge was a key challenge. Many sought additional revenue streams while gaining meaningful experiences from the process. However, barriers like managing mentorship loads and scheduling were significant hurdles.
For mentors, monetizing their knowledge was a key challenge. Many sought additional revenue streams while gaining meaningful experiences from the process. However, barriers like managing mentorship loads and scheduling were significant hurdles.
Adding flexibility for mentors to reschedule sessions seemed straightforward, but aligning multiple calendars between mentors and learners, alongside integrating external tools, required significant adjustments to our event processing flow. This overhaul demanded a robust data architecture to handle the complexity.
To simplify scheduling, we enabled mentors to connect multiple calendars and set session rules directly on the platform. This streamlined time management, allowing mentors to focus on meaningful interactions.
To simplify scheduling, we enabled mentors to connect multiple calendars and set session rules directly on the platform. This streamlined time management, allowing mentors to focus on meaningful interactions.
To simplify scheduling, we enabled mentors to connect multiple calendars and set session rules directly on the platform. This streamlined time management, allowing mentors to focus on meaningful interactions.
Another pivotal growth driver was introducing Payments. Initially, all sessions were free, which restricted our entry into the commercial mentorship space and limited our competitive edge. Implementing payments not only attracted more mentors by offering monetization opportunities but also established mentorship as a scalable service, fueling rapid growth in our mentor base.
Adding flexibility for mentors to reschedule sessions seemed straightforward, but aligning multiple calendars between mentors and learners, alongside integrating external tools, required significant adjustments to our event processing flow. This overhaul demanded a robust data architecture to handle the complexity.
Adding flexibility for mentors to reschedule sessions seemed straightforward, but aligning multiple calendars between mentors and learners, alongside integrating external tools, required significant adjustments to our event processing flow. This overhaul demanded a robust data architecture to handle the complexity.
Adding flexibility for mentors to reschedule sessions seemed straightforward, but aligning multiple calendars between mentors and learners, alongside integrating external tools, required significant adjustments to our event processing flow. This overhaul demanded a robust data architecture to handle the complexity.
We launched on Product Hunt to attract relevant traffic and validate our offering. The community recognized us as Product of the Day, Week, and Month. This brought significant traffic, helping us scale our user base and accelerate platform experimentation and development.
Another pivotal growth driver was introducing Payments. Initially, all sessions were free, which restricted our entry into the commercial mentorship space and limited our competitive edge. Implementing payments not only attracted more mentors by offering monetization opportunities but also established mentorship as a scalable service, fueling rapid growth in our mentor base.
Another pivotal growth driver was introducing Payments. Initially, all sessions were free, which restricted our entry into the commercial mentorship space and limited our competitive edge. Implementing payments not only attracted more mentors by offering monetization opportunities but also established mentorship as a scalable service, fueling rapid growth in our mentor base.
Another pivotal growth driver was introducing Payments. Initially, all sessions were free, which restricted our entry into the commercial mentorship space and limited our competitive edge. Implementing payments not only attracted more mentors by offering monetization opportunities but also established mentorship as a scalable service, fueling rapid growth in our mentor base.
We launched on Product Hunt to attract relevant traffic and validate our offering. The community recognized us as Product of the Day, Week, and Month. This brought significant traffic, helping us scale our user base and accelerate platform experimentation and development.
We launched on Product Hunt to attract relevant traffic and validate our offering. The community recognized us as Product of the Day, Week, and Month. This brought significant traffic, helping us scale our user base and accelerate platform experimentation and development.
We launched on Product Hunt to attract relevant traffic and validate our offering. The community recognized us as Product of the Day, Week, and Month. This brought significant traffic, helping us scale our user base and accelerate platform experimentation and development.
P.S. This project consists of multiple launches. A more detailed case study is available for personal presentation and will be published later:)
Stay tuned!