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Description
Problem
The KG documentation right now is a bit of a braindump of solutions to various support tickets and best practices. While they're individually helpful, they overwhelm new users/customers, making it challenging for them to successfully learn and integrate Diffbot KG into their system or workflow.
Purpose
To introduce new users to the minimum viable steps necessary for executing and understanding an API call that returns "data that wows" (e.g. Data that cannot be found with Google) and
Proposed Solution
First, let's establish some core principles (sorta like reddit rules) that ensures all content, regardless of who wrote it, sound like one Diffbot. This doesn't have to be perfect, we just need to have a few founding principles that we feel good about enforcing, then enforce them with all new content. Here're some:
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Minimize Reading: Walls of copy don't inspire much learning. When writing content, remove as many words or phrases as possible that do not add value to the core topic.
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Maximize Interaction: Practical application is incredibly memorable. Wherever possible, try to get the user to do something that provides a response. And make it easy to do so!
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Don't Solve Problems That Don't Exist Yet: As the world's experts in the KG, we have a tendency to over-explain how it works. The KG quickstart is a great example of this. The 2nd bullet on this page explains using
isCurrentto bound queries. To the fledgeling KG user reading this quickstart, this is not a problem that exists in their head yet.💡 As an aside, it is often better (for learning) to let users run into common problems intentionally. This DigitalOcean piece on how to implement a drop rule on iptables is a good example of having the user execute an "obvious" command, then correcting it later after explaining the repercussions.
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Assume Cluelessness: If writing a guide, state the pre-requisites (with appropriate links). If explaining a higher level concept that makes no sense without the foundational concept, link to the foundational concept.
Feel free to add more to this list. These are just the ones that come to mind as I'm writing this.
Next, let's craft an outline to map out the KG docs:
Here's a starting outline (please rip apart if terrible). Not intended to be the outline of the sidebar. Just a high level mind map.
Diffbot Knowledge Graph
- Introduction
- Search vs. Enhance
- What is DQL? (Very basic explanation)
- Search Quickstart // links to dedicated search section below
- Enhance Quickstart // links to dedicated enhance section below
- Ontology
- Search
- Quickstart
- Best Practices
- Clients & Integrations
- Dashboard
- Excel Add-in
- Google Sheets Add-on
- API Reference
- Enhance
- Quickstart
- Best Practices
- Clients & Integrations
- Dashboard
- Excel Add-in
- Google Sheets Add-on
- Zapier
- API Reference
- Glossary (link terms like "DQL" to this page as much as possible ala rule #4)
That's all I've got. Let me know your thoughts and what we agree on so we can divide and conquer.