📈
MetricsDAO
  • The DAO for Web3 Analytics
  • MetricsDAO Ecosystem
    • Labor Markets Docs
    • Metrics App Docs
    • Metrics App Walkthrough
    • xMETRIC
    • xMETRIC Masters
  • NETWORKS
    • Quickstart: Make a Network
    • Networks 101
    • Network List
  • Operations
    • Constitution
    • Team Structure
      • Governor and Genesis Councils
      • Treasury
    • Tooling and Processes
    • Code of Conduct
    • Partners
    • Brand Assets
    • Directory
  • Education
    • Education Overview
    • MetricsDAO Courses
    • 🧑‍🏫Web3 Analytics 101: Async Course
    • 🧑‍🏫Web3 Analytics 101: Live Course
      • Segment 0 - Live Course
    • 📚Workshops
      • 2022-10-12 Open-Source Data Analytics via Dune Spellbook (Prerequisites)
      • 2022-04-21+ Interactive Data Visualization with Python
      • 2022-03-30+ Subgrounds Workshop Series
      • 2022-03-11 Data Curation with dbt
      • 2022-02-10 Exploring Terra Data with Flipside Crypto
      • 2022-01-27 Dune Analytics and NFTs
  • Analyst Resources
    • Analytics Challenge FAQ
    • Tips for an Impactful Analytics Dashboard
      • Dos
        • 1. Do: Decide on the broad type of dashboard
        • 2. Do: Get clear on your audience(s)
        • 3. Do: Define and deliver on your purpose
        • 4. Do: Communicate your Big Idea
        • 5. Do: Establish a logical structure
        • 6. Do: Define key metrics
        • 7. Do: Maximize the signal-to-noise ratio
        • 8. Do: Use best practices for visuals
        • 9. Do: Ask for feedback
      • Don'ts
        • 10. Don’t: Disregard your audience’s knowledge
        • 11. Don’t: Go too technical in the methodology
        • 12. Don’t: Overwhelm with charts
        • 13. Don’t: Overwhelm with text
        • 14. Don’t: Submit without proofreading
      • Extras
      • Closing Thoughts
      • Resources
    • Evaluation Criteria
    • Analyst Resources
  • Reviewer Resources
    • Reviewer Basics
    • Providing Effective Feedback
  • Extras
    • Experiments
    • Useful Links
Powered by GitBook
On this page

Was this helpful?

  1. Analyst Resources
  2. Tips for an Impactful Analytics Dashboard
  3. Don'ts

10. Don’t: Disregard your audience’s knowledge

One example of thinking about context is the level of background knowledge your audience has. If you share your dashboard with the peer reviewers at MetricsDAO and also on your Twitter, your readers will likely be familiar with the web3 space, have the basics of web3 down, or at least know where to find more details. You might not want to start your work with a copied and pasted, generic, and lengthy description of the web3 project you are analyzing. Most of your audience may find it redundant – not to mention unoriginal when they open another dashboard to get additional insights and instead find the same description. This is an easy “Ugh” moment to avoid. Instead, mention in your own words the minimum amount of background needed, and link to more details in case a one-off reader may be unfamiliar with the details, or someone wants to dive deep.

PreviousDon'tsNext11. Don’t: Go too technical in the methodology

Last updated 2 years ago

Was this helpful?