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Hopefully, you’ve been able to spot patterns in your notes and fetch them using queries. Search is an important use case for queries, but there’s much more possible with them. For the rest of this week, we’ll leverage our knowledge of queries to manage processes.
A process is nothing more than a series of steps to achieve a goal. The goal of today’s challenge is to build a collection of content you can dive into when it’s relevant or when you have time.
While there are many apps and services to capture content for later consumption, we’ll build our own barebones structure right within Logseq. Using browser extensions or Logseq plugins, you can gradually automate this content collection process.
To design and build better processes, it’s useful to know a thing or two about Systems Thinking. If this term is new for you, first read these notes (make sure you’re running the latest version of the training graph).
In Systems Thinking, there are three main components: inputs, movements, and outputs. If you’re clear on your goal (the output) and know what materials you’re working with (the inputs), it becomes much easier to define the steps to get to the goal (the movements).
Let’s see how we can apply Systems Thinking to our content consumption pipeline.
Systems Thinking applied to content collection
Input
- Content you wish to consume.
Movements
- Find a piece of content (tweet, article, video, etc.) you want to consume and think about later.
- Copy the URL of the content from the browser’s address bar.
- To skip the next step there are tools to quick save from your browser (with Alfred for example).
- Run template in Logseq and paste URL.
- You can automate this step using some text expansion tool on your device.
- Resurface content when it’s opportunistic to consume and digest (taking notes of your insights).
Output
- Highlights and notes that can be used for output (memos, blog articles, papers).
Introducing tasks
To help us manage the (short) process of capturing and revisiting content, we’ll mark every piece of content as a task.
If you’ve been using Logseq for more than a few days, you’re probably already familiar with the TODO
or LATER
keywords. When placed at the beginning of a block, a keyword turns the block into a task.
Apart from TODO
and LATER
, there are also other keywords that denote the status of the task: NOW
, DOING
, and DONE
. These are part of two different “flavors” or workflows of task management that Logseq ships with.
The two possible task workflows are:
LATER
→NOW
→DONE
(the default workflow)TODO
→DOING
→DONE
To change your preferred task workflow, go to the Editor
tab in Settings
:
What’s nice about the keywords is that we can use them as values in the task
query filter, like so: {{query (task todo) }}
. Replace the todo
keyword with any of the other available values for tasks.
It’s important to note that when using the task
filter in a query, the query will only look for the search terms on a per-block basis. In other words: it will not look across an entire branch to find matching terms. This is similar to how block properties work.
Speaking of which…
Correction: this is how block properties work
In Friday’s lesson, I had incorrectly stated that block properties are applied to the whole branch they’re a parent of. However, some alert community members pointed out that block properties only apply to the block they’re part of. I’ve updated Friday’s lesson accordingly (see the section about the property
filter).
If you’re looking to combine properties with other filters in a query, make sure the properties you’re querying on are page properties. To apply a property to an entire page, make sure it’s placed in the first block of the page.
Exercise
For today’s challenge, you need to build a series of queries that each represent one step in the content consumption process. The goal is to end up with useful highlights and notes from content. The starting point for each piece of content is getting collected.
Follow the instructions below to get a minimum variable workflow. Experiment by collecting more resources, adding properties, and creating different combinations of queries.
Build a capture template
- Create a template to quickly collect and categorize content, containing:
- The TODO keyword
- The title of the content
- The URL to the content
- An
author::
property - A
type::
property - A
tags::
property
Build a collection of content
- Use the template you’ve built to collect some content. Make sure to at least add values to the
type::
andtags::
properties.
Build a process to consume content
- For each tag value used, write a query that fetches all TODOs.
- To create inboxes for different contexts (reading, listening, watching), split out the collected content based on type.
- Think of what steps you’d take to consume a piece of content. Add these as values to a status property, or use the built-in task statuses. Write a query for each step in the process.
Questions? Insights?
If you have any questions or insights related to today’s challenge, please post them in this forum thread.