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@@ -63,108 +63,106 @@ Now, it’s time to write! Rather than starting with a slide deck, open up a bla | |
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| Don’t get too hung up on a title at this stage — we’re happy to work with you on that later in the process. | ||
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| ### The basic structure | ||
| ## The basic structure | ||
| Below, we’ve outlined a common structure used for meetup talks — if this is your first talk, this is a great way to get started (in fact, even experienced speakers often use a structure like this). Use this as a starting point, rather than an exact formula! | ||
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| ###### 1. What is the business problem? | ||
| 1. What is the business problem? | ||
| Relating to a business problem helps audience members understand why you undertook a project. For example: | ||
| - The finance team didn’t trust our numbers | ||
| - We were never sure what led to an increase in customer conversion | ||
| - The data team couldn’t find a balance between ad hoc requests and roadmap work | ||
| - Our tracking across mobile and web was completely inconsistent | ||
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| Relating to a business problem helps audience members understand why you undertook a project. For example: | ||
| - The finance team didn’t trust our numbers | ||
| - We were never sure what led to an increase in customer conversion | ||
| - The data team couldn’t find a balance between ad hoc requests and roadmap work | ||
| - Our tracking across mobile and web was completely inconsistent | ||
| 2. How did this manifest? | ||
| Include evidence that this is a genuine problem — this helps create buy-in from the audience. Slack screenshots, quotes, charts, etc. are all good here! | ||
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| ###### 2. How did this manifest? | ||
| Include evidence that this is a genuine problem — this helps create buy-in from the audience. Slack screenshots, quotes, charts, etc. are all good here! | ||
| 3. What tactics were used to solve the problem? | ||
| Three feels like a good number here. Make sure to emphasize people and process solutions as well as technology solutions. | ||
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| ###### 3. What tactics were used to solve the problem? | ||
| Three feels like a good number here. Make sure to emphasize people and process solutions as well as technology solutions. | ||
| 4. What was the impact on the business problem? | ||
| Since you set out a problem to be solved, it’s worth revisiting it. It’s okay if you found that your project didn’t go as planned — there’s a valuable lesson in there. Again, including evidence of improvement feels valuable. | ||
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| ###### 4. What was the impact on the business problem? | ||
| Since you set out a problem to be solved, it’s worth revisiting it. It’s okay if you found that your project didn’t go as planned — there’s a valuable lesson in there. Again, including evidence of improvement feels valuable. | ||
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| ###### 5. What other things were learned, and/or what next steps are you taking? | ||
| Summarize high level lessons that others can take-away, and potentially talk about what you’d do differently, or what you plan on doing next. | ||
| 5. What other things were learned, and/or what next steps are you taking? | ||
| Summarize high level lessons that others can take-away, and potentially talk about what you’d do differently, or what you plan on doing next. | ||
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| ### Why does this structure work? | ||
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| The above structure might seem formulaic, but we’ve seen it work a number of times. In our opinion, this structure works because: | ||
| The previous structure might seem formulaic, but we’ve seen it work a number of times. In our opinion, this structure works because: | ||
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| - **Your presentation has the structure of a story** — problem, journey, solution. Human beings love stories, and so the flow feels natural and easy for your audience to follow. | ||
| - **It increases the target audience**. Sharing a few different tactics means that it’s more likely there will be something in your talk for different audience members. Compare that to narrowly scoping a talk on “[Writing packages when a source table may or may not exist](https://discourse.getdbt.com/t/writing-packages-when-a-source-table-may-or-may-not-exist/1487)”— it’s not going to feel relevant to most people in the room. | ||
| - **It covers both theory and application.** Too much theory and you’re giving a TedTalk, too much application and you’re just giving a product demo. The best Meetup talks help people understand how you thought through a problem and why you made certain decisions so they can apply your knowledge within their unique context. | ||
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| ### Examples that follow this structure | ||
| ## Examples that follow this structure | ||
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| Here's a few of our favorite talks mapped to the structure — trust us, it works! | ||
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| #### Improving data reliability — Andrea Kopitz, Envoy | ||
| ### Improving data reliability — Andrea Kopitz, Envoy | ||
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| *[Video](https://www.youtube.com/watch?v=M_cNspn2XsE), [slides](https://docs.google.com/presentation/d/1gHChax5aM3tqKkhepX7Mghmg0DTDbY5yoDBCfUR23lg/).* | ||
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| ###### 1. What is the business problem? | ||
| 1. What is the business problem? | ||
| Envoy’s financial data appeared inconsistent. | ||
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| ###### 2. How did this manifest? | ||
| 2. How did this manifest? | ||
| Respondents to the team’s data survey said they no longer trusted the data. | ||
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| ###### 3. What tactics were used to solve the problem? | ||
| 1. Determine responsibility | ||
| 2. Build more specific dbt tests | ||
| 3. Track progress | ||
| 3. What tactics were used to solve the problem? | ||
| 1. Determine responsibility | ||
| 2. Build more specific dbt tests | ||
| 3. Track progress | ||
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| ###### 4. What was the impact on the business problem? | ||
| 4. What was the impact on the business problem? | ||
| In their next data survey, satisfaction rating increased, and no mention of financial data accuracy. | ||
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| ###### 5. What other things were learned, and/or what next steps are you taking? | ||
| 5. What other things were learned, and/or what next steps are you taking? | ||
| Lesson: Send out a data survey to your company to inform your roadmap. | ||
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| #### Predicting customer conversions with dbt + machine learning — Kenny Ning, Better.com | ||
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| ### Predicting customer conversions with dbt + machine learning — Kenny Ning, Better.com | ||
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| *[Video](https://www.youtube.com/watch?v=BF7HH8JDUS0), [slides](https://docs.google.com/presentation/d/1iqVjzxxRggMnRoI40ku88miDKw795djpKV_v4bbLpPE/).* | ||
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| ###### 1. What is the business problem? | ||
| No one knew why conversion rates for better.com customers would improve or worsen, making it difficult to know the value of different parts of the business. | ||
| 1. What is the business problem? | ||
| No one knew why conversion rates for better.com customers would improve or worsen, making it difficult to know the value of different parts of the business. | ||
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| ###### 2. How did this manifest? | ||
| Different parts of the business took responsibility when it improved, no one took responsibility when it worsened. | ||
| 2. How did this manifest? | ||
| Different parts of the business took responsibility when it improved, no one took responsibility when it worsened. | ||
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| ###### 3. What tactics were used to solve the problem? | ||
| 1. Use a different approach to conversion rates — kaplan-meier conversion rates | ||
| 2. Sketch out an ideal ML solution and see if it theoretically solves the problem | ||
| 3. Build it! (ft. demonstration of solution) | ||
| 3. What tactics were used to solve the problem? | ||
| 1. Use a different approach to conversion rates — kaplan-meier conversion rates | ||
| 2. Sketch out an ideal ML solution and see if it theoretically solves the problem | ||
| 3. Build it! (ft. demonstration of solution) | ||
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| ###### 4. What was the impact on the business problem? | ||
| In the end — not as valuable as originally hoped (and that’s ok!). Editor note: [this article](https://better.engineering/2020-06-24-wizard-part-ii/) was a great follow up on the initial project. | ||
| 4. What was the impact on the business problem? | ||
| In the end — not as valuable as originally hoped (and that’s ok!). Editor note: [this article](https://better.engineering/2020-06-24-wizard-part-ii/) was a great follow up on the initial project. | ||
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| ###### 5. What other things were learned, and/or what next steps are you taking? | ||
| - Focus on end-to-end solutions | ||
| - Materialize your clean dataset to improve collaboration | ||
| - Sell to the business | ||
| 5. What other things were learned, and/or what next steps are you taking? | ||
| - Focus on end-to-end solutions | ||
| - Materialize your clean dataset to improve collaboration | ||
| - Sell to the business | ||
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| #### Migrating 387 models from Redshift to Snowflake — Bowery Farming Data Team | ||
| ### Migrating 387 models from Redshift to Snowflake — Bowery Farming Data Team | ||
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| *[Video](https://www.youtube.com/watch?v=VhH614WVufM), [slides](https://docs.google.com/presentation/d/1wE8NSkFPLFKGQ8fvFUUKoZFVoUhws_FhFip-9mDhoPU/).* | ||
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| ###### 1. What is the business problem? | ||
| A new Bowery Farming site had increased the amount of data the team were dealing with, which put a strain on their data stack. | ||
| 1. What is the business problem? | ||
| A new Bowery Farming site had increased the amount of data the team were dealing with, which put a strain on their data stack. | ||
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| ###### 2. How did this manifest? | ||
| Charts show increased dbt run times, and increased Redshift costs. | ||
| 3. How did this manifest? | ||
| Charts show increased dbt run times, and increased Redshift costs. | ||
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| ###### 3. What tactics were used to solve the problem? | ||
| 1. Push Redshift to its limit: Leverage Athena, Redshift configurations, separate clusters, python pre-processing | ||
| 2. Trial Snowflake for cost and performance | ||
| 3. Commit to a migration with strong project management | ||
| 3. What tactics were used to solve the problem? | ||
| 1. Push Redshift to its limit: Leverage Athena, Redshift configurations, separate clusters, python pre-processing | ||
| 2. Trial Snowflake for cost and performance | ||
| 3. Commit to a migration with strong project management | ||
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| ###### 4. What was the impact on the business problem? | ||
| Yet to be determined (at the time, they had just finished the project). But the team showed evidence that the project has been successfully completed! | ||
| 4. What was the impact on the business problem? | ||
| Yet to be determined (at the time, they had just finished the project). But the team showed evidence that the project has been successfully completed! | ||
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| ###### 5. What other things were learned, and/or what next steps are you taking? | ||
| Other things learned: | ||
| - Differences between Redshift and Snowflake SQL syntax | ||
| - Teamwork and coordination are key to completing a migration | ||
| 5. What other things were learned, and/or what next steps are you taking? | ||
| Other things learned: | ||
| - Differences between Redshift and Snowflake SQL syntax | ||
| - Teamwork and coordination are key to completing a migration | ||
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| ## Turn it into a presentation | ||
| Now, it's time to take your idea and turn it into a presentation. | ||
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| ## Pair it with a blog post | ||
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| The hardest part of nailing a great talk is the content, so if you’ve made it this far, you’ve already done most of the work. Turning your content into a blog post is a great way to solidify your thinking, and get some extra exposure. If you’d like to be features on the [dbt Blog](https://blog.getdbt.com/), reach out to us (@Claire and @Janessa) on Slack. | ||
| The hardest part of nailing a great talk is the content, so if you’ve made it this far, you’ve already done most of the work. Turning your content into a blog post is a great way to solidify your thinking, and get some extra exposure. If you’d like to be featured on the [dbt Blog](https://blog.getdbt.com/), please email us at [[email protected]](mailto:[email protected]). | ||
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| We’ll also be adding more resources on how to write about your work soon! | ||
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| ### Responding to a conference Call for Speakers | ||
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| If you’re submitting a response for a Call for Speakers, and talking about dbt, we’re happy to work with you on this. Reach out to us (@Claire and @Janessa) in Slack to let us know! | ||
| If you’re submitting a response for a Call for Speakers, and talking about dbt, we’re happy to work with you on this. You may email us at [[email protected]](mailto:[email protected]) for more information. | ||
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