Coder Social home page Coder Social logo

labs-sprint2's Introduction

Labs Sprint Challenge: 1.2 - Plan and Evaluate

This challenge allows you to practice the concepts and techniques learned over the past week and apply them by providing answers to questions related to your product vision. This Sprint explored Planning and Evaluating: Planning your Labs Product. During this Sprint, you were given the following lessons:

  • Usability
  • GitHub
  • Project management / Production ready dev environment

In your challenge this week, you will demonstrate understanding over these topics by responding to 2 prompts

Instructions

Read these instructions carefully. Understand exactly what is expected before starting this Sprint Challenge.

This is an individual assessment. All work must be your own. Your challenge score is a measure of your ability to work independently using the material covered through this sprint. You need to demonstrate proficiency in the concepts and objectives introduced and practiced in preceding days.

You are not allowed to collaborate during the Sprint Challenge. However, you are encouraged to follow the twenty-minute rule and seek support from your TL if you need direction. Your work reflects your proficiency in user interface and your command of the concepts and techniques in team planning and product vision.

You have three hours to complete this challenge. Plan your time accordingly.

Entries This Sprint

Please respond to the following prompts to demonstrate your understanding of product vision planning sessions.

Please submit your response to your Google Drive folder you created in your during your first sprint of labs.

Prompt 1: Decision Defense

Please respond to the following prompts to demonstrate your understanding of these release canvas planning sessions.

  • For data scientists and engineers: Describe the features in your first release canvas. How do the features in your first release canvas support one another? How will the completion of the first release canvas help drive the technological decisions moving forward?
  • For UX designers: Describe how the user research you conducted influenced the features your team will build.

Prompt 2: Breakdown Entry

Describe the breakdown process of your first release canvas. Please add a link to your first release canvas in notion.

  • For non-UX students: Summarize what you included in your first release canvas and why the features in that release canvas create a complete feature set.
  • How will you test those features to know that they actually solve the problem?

You are expected to be able to answer all these questions. Your responses contribute to your Sprint Challenge grade. Skipping this section will prevent you from passing this challenge.

Submitting your work

Please submit to your Labs Google Drive folder.

Rubric & Samples

Here is a link to the rubric that will be used to assess your answers to the prompts. Use this as a guide as you craft your responses.

Here is a link to a sample submission that you can use for inspiration.

labs-sprint2's People

Contributors

ryan-hamblin avatar

Watchers

Nick Durbin avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.