Week #5

Week #5 #

📝 Feedback #

❓ Sessions #

Our team conducted 4 interviews with our first users. Now you can see summary of all interviews below

  • 💡 Project Idea

    • User 1
      • “Cool idea, I think that personalosed roadmap will make learning much simpler.”
    • User 2
      • “It is cool, but I think that we have enough sites with courses. But Automatic roadmap generation is good idea.”
    • User 3
      • “I agree with User 2, furthermore, have you think about copyright”
    • User 4
      • “I really love your name.”

  • 🎨 Site Design

    • User 1
      • “Good design, I really love capybara on main page”
    • User 2
      • “Good design overal, but I prefer dark theme”
    • User 3
      • “I think that yellow color is not the best, additionally where is dark theme?”
    • User 4
      • “You have animations, thats enough to satisfy me”

  • 📝 Onboarding

    • User 1
      • “In case if I want to increase my python level, why I cant take it as a goal skill?”
    • User 2
      • “Maybe in education section you should add passed courses, to get better user background”
    • User 3
      • “I could not find all my skills, plus there are too many level selection pages”
    • User 4
      • “It was fast, too fast. I like it”

  • 🗺️ Roadmap

    • User 1
      • “Good looking roadmap plus it was created from scratch, I like it”
    • User 2
      • “Some courses have less information that other ones”
    • User 3
      • “Good, but it could be even better with more interaction features”
    • User 4
      • “Lol, Your roadmap updates 100 times a second, you should fix your rerender”

  • ♾️ General Impressions

    • User 1
      • “I think that this project have a good future. I think you will get an A”
    • User 2
      • “Good project, if you add more interactive features it would be perfect”
    • User 3
      • “Well, If you will work on it and add feature for automatic CV generation you totaly will succeed”
    • User 4
      • “I like it. Wish good luck on final presentation”

In case if you want to try our project visit kizak.ru

🔎 Analyze #

  • Server lack of resources (not enough RAM)
  • Black theme required
  • More user statistics required
  • Dataset with larger size required

💅🏻 Iteration & Refinement #

🚀 Implemented features based on feedback #

  • Feedback feature (In progress)

    • User can send a feedback to generated roadmap
      • Exclude author
      • Exclude course

  • Frontend optimisation

  • Automatic course scrapping

All planned features could be found in our backlog

🏎️ Performance & Stability #

  • Maximum load

    • ❓ To test this we ask our friends to DDoS our site
    • 📝 Our site can handle up to 10 active users
    • 🔮 In future we plan to increase the performance of project and upgrade our server

  • Site performance

    • ❓ To test this we used utilities provided by React
    • 📝 Some parts of site were constantly updating (rerendering)
    • ✅ Our frontend developers optimised component rerender and increase site performance

  • Backend and ML performance

    • ❓ To test this we will stress test our site
    • 🔮 In case of low performance, we plan to add load balancers

📄 Documentation #

  • Small documantation in README
    • Contains requirements and instruction for project setup
  • Built in API documentation by SwaggerAPI (works only while deployed)
    • Comes by default with FastAPI
    • Provides validation and test capabilities
  • Simple markdown documentation
    • In case if SwaggerAPI not avaliable, user can see our docs

🤖 ML Model Refinement #

  • Improved course ranking (see Weekly commitments)
  • Added template for user feedback (see Weekly commitments)

📝 Weekly commitments #

📊 Individual contribution of each participant #

🎯 Plan for Next Week #

  • Increase dataset size
  • Update deployment instructions
  • Add load balancers
  • Refine UI

Confirmation of the code’s operability #

We confirm that the code in the main branch:

  • In working condition.
  • Run via docker-compose (or another alternative described in the README.md).