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        • 1. Do: Decide on the broad type of dashboard
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        • 4. Do: Communicate your Big Idea
        • 5. Do: Establish a logical structure
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        • 7. Do: Maximize the signal-to-noise ratio
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      • 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
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  1. Analyst Resources
  2. Tips for an Impactful Analytics Dashboard
  3. Don'ts

13. Don’t: Overwhelm with text

For instance, imagine a hypothetical dashboard where you have plotted the number of monthly sales for an NFT collection for 6 months. How can you optimize the real estate next to this chart?

Instead of writing something like this self-explanatory description:

“The number of monthly sales for an NFT collection trended up for the past 6 months:

In January it was A tokens sold.

In February it was B tokens, B-A tokens more.

In March and April each, C NFTs were sold.

May saw a brief decrease, back to February levels with B sales.

June had the record number of sales in this collection, with more than D sales.”

try something like:

“NFT sale count shows an uptrend, and combined with data in the previous chart this indicates possible concentration:

  • The number of monthly sales for an NFT collection trended up for the past 6 months from January to June (minus a brief decrease in May).

  • On the chart above we saw that the number of unique monthly buyer wallets consistently decreased in the same time span. This indicates that the collection is concentrating in a smaller subset of wallets.

  • Is this trend neutral, positive, or negative? The next section helps us understand the implications.”

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Last updated 2 years ago

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