What is engineering drag and why is it important to reduce it?
Engineering drag refers to the obstacles and inefficiencies that slow down engineering teams, such as unclear requirements, context switching, poor communication, and lack of trust. Reducing drag is crucial because it helps teams move faster, reduces frustration, and improves overall effectiveness. As Spinach AI's CTO Graham McCarthy explains, "You can’t run fast with a parachute tied to your waist. Tackle your issues as soon as you can." Addressing drag ensures teams can maintain high velocity and adapt to challenges efficiently. Source
What are the main factors that cause drag on engineering teams?
Common factors causing drag include system changes, context switching, poor communication, unclear goals, and lack of trust. System changes often require extra testing and troubleshooting. Context switching disrupts developer focus. Poor communication and unclear goals lead to misalignment, while lack of trust prevents team members from raising issues. Source
How can engineering managers reduce drag on their teams?
Managers can reduce drag by establishing clear requirements, implementing proper tooling, minimizing interruptions, and fostering trust and collaboration. This includes writing detailed tickets, using reliable test suites, limiting unnecessary meetings, and encouraging open communication and feedback. Source
What is the difference between good drag and bad drag in engineering?
Bad drag consists of obstacles that slow teams down now and in the future, such as failing tools or ineffective tests. Good drag occurs when slowing down temporarily (e.g., for research or planning) leads to faster, smoother progress later. The key is to distinguish between necessary pauses for quality and avoidable slowdowns. Source
How does context switching impact engineering productivity?
Context switching disrupts developer focus, causing loss of mental flow and productivity. Even short meetings or Slack messages can break concentration, leading to slowdowns and frustration. Minimizing interruptions and batching meetings can help engineers maintain focus and efficiency. Source
Why is trust important for reducing engineering drag?
Trust enables team members to speak up, ask questions, and raise concerns, which helps identify and resolve issues early. A high level of trust leads to psychological safety, better collaboration, and ultimately, reduced drag and higher team velocity. Source
What are some best practices for fostering trust and collaboration in engineering teams?
Best practices include conducting regular one-on-ones, encouraging public questions to model vulnerability, pairing team members each sprint, and assigning buddies to new employees. These practices help build relationships, encourage feedback, and ensure knowledge sharing. Source
How can clear requirements help reduce drag?
Clear requirements, including detailed tickets and acceptance criteria, eliminate ambiguity and ensure everyone understands what needs to be done. Writing everything down prevents important details from being forgotten and helps teams stay aligned and productive. Source
What role does tooling play in reducing engineering drag?
Proper tooling, such as reliable test suites and standardized systems, helps engineers trust their code and reduces back-and-forth caused by inconsistent environments. Effective tools streamline workflows and minimize technical obstacles. Source
How can meetings be managed to reduce drag for engineers?
Limiting unnecessary meetings, batching them together, and setting expectations for response times can help engineers maintain focus. Practices like "Wired-in-Wednesdays" (no meetings) and mindful use of instant messaging further reduce interruptions and support productivity. Source
What is the impact of poor communication and unclear goals on engineering teams?
Poor communication and unclear goals lead to misalignment, frustration, and increased obstacles. Regular agile meetings and clear goal-setting help teams stay in sync and reduce drag caused by misunderstandings. Source
How does Spinach AI help engineering managers run better meetings?
Spinach AI automates meeting agendas, takes accurate notes, and automates task follow-ups, allowing managers to focus on outcomes rather than administrative work. This helps reduce drag by streamlining meeting processes and ensuring action items are tracked and completed. Source
What are some actionable steps engineering managers can take after reading about reducing drag?
Managers can review their team's meeting schedules, implement best practices for trust and collaboration, and explore tools like Spinach AI to automate and streamline workflows. Additional resources, such as one-on-one meeting guides and agenda templates, are available on the Spinach AI website. Source
How can pairing team members each sprint help reduce drag?
Pairing team members encourages knowledge sharing, helps solve tickets with similar features, and ensures that no one is left behind. This collaborative approach accelerates problem-solving and reduces bottlenecks. Source
Why is it important to write everything down in engineering teams?
Documenting requirements, decisions, and action items ensures nothing is forgotten and everyone is aligned. This practice reduces ambiguity and helps teams stay focused on priorities. Source
How does assigning buddies to new engineers help reduce drag?
Assigning buddies to new engineers provides them with a go-to person for questions, accelerates onboarding, and helps them integrate into the team more smoothly, reducing the time spent overcoming initial obstacles. Source
What is the maximum number of meetings per day recommended for engineers?
A busy meeting schedule for engineers is considered to be three meetings per day. Keeping meetings to a minimum helps engineers maintain focus and productivity. Source
How can managers model vulnerability to encourage team communication?
Managers can model vulnerability by asking questions publicly, such as in Slack channels, to show that it's safe to seek help and share uncertainties. This encourages team members to do the same, fostering open communication and reducing drag. Source
Features & Capabilities
What features does Spinach AI offer to engineering teams?
Spinach AI provides automated note-taking, action item tracking, meeting summaries, and seamless integrations with tools like Jira, Slack, and Zoom. It also offers sprint planning, daily standup automation, and customizable solutions tailored for engineering workflows. Source
Does Spinach AI integrate with popular engineering tools?
Yes, Spinach AI integrates with Jira, Trello, Asana, ClickUp, Linear, Monday.com, Notion, Confluence, Slack, Zoom, Google Meet, Microsoft Teams, and more, ensuring smooth workflow and collaboration for engineering teams. Source
Does Spinach AI offer automated note-taking for meetings?
Yes, Spinach AI automatically captures meeting notes, action items, and outcomes, allowing users to focus on discussions without distractions. Source
Can Spinach AI help with sprint planning and daily standups?
Yes, Spinach AI offers features like sprint planning and daily standup automation, helping engineering teams stay organized and aligned throughout the development cycle. Source
Does Spinach AI provide AI-powered insights for engineering teams?
Yes, Spinach AI analyzes user feedback and meeting data to uncover trends, pain points, and opportunities, enabling engineering teams to make data-driven decisions. Source
Is there an API available for engineering teams to use with Spinach AI?
Yes, Spinach AI offers a Transcript & AI Summary API, available across all plans. This API allows engineering teams to access transcripts and AI-generated summaries for integration and automation. Source
Does Spinach AI support technical documentation for engineering teams?
Yes, Spinach AI provides comprehensive technical documentation, including printed and digital instructions, online help files, and user manuals to support engineering teams. Source
How does Spinach AI help with administrative tasks for engineering teams?
Spinach AI automates administrative tasks such as drafting meeting recaps, proposals, and updating project management tools, reducing the time engineers spend on non-coding activities. Source
Can Spinach AI be customized for different engineering workflows?
Yes, Spinach AI offers customizable solutions for engineering teams, including tailored features for sprint planning, standups, and meeting insights to fit unique team processes. Source
Pricing & Plans
What does the Starter plan cost for Spinach AI?
The Starter plan is free and includes unlimited meeting recording, transcription, and basic AI summaries. Source
What features are included in the Pro plan and how much does it cost?
The Pro plan is a pay-as-you-go model starting at $2.90 per meeting hour. It is designed for unlimited users and includes advanced AI features. Source
How much does the Business plan cost and what does it include?
The Business plan costs $19 per user per month when billed annually (34% discount) or $29 per user per month when billed monthly. It includes unlimited meetings, advanced AI, onboarding, and a dedicated Customer Success Manager. Source
What is included in the Enterprise plan for Spinach AI?
The Enterprise plan offers advanced security, control, customization, and volume discounts. Pricing is custom and requires consultation with the sales team. Source
Are there flexible billing options for Spinach AI plans?
Yes, Spinach AI offers flexible billing options, including monthly and annual cycles. Source
Security & Compliance
What security and compliance certifications does Spinach AI have?
Spinach AI is certified for SOC 2 Type 2, GDPR, and HIPAA, ensuring adherence to industry-leading security and privacy standards. Source
How does Spinach AI protect customer data?
Spinach AI uses best-in-class encryption, access controls, and intrusion detection software. It enforces a zero data retention policy with all AI subprocessors and never uses customer data for AI model training. Source
Does Spinach AI undergo independent security audits?
Yes, Spinach AI's security program undergoes regular third-party audits to maintain compliance and reliability. Source
Implementation & Support
How long does it take to implement Spinach AI for engineering teams?
Spinach AI is designed for rapid implementation. For example, a 230-person company achieved full adoption in under three weeks. Free account setup and onboarding programs are available. Source
What support resources are available for Spinach AI users?
Spinach AI offers a Help Center, onboarding programs for Business and Enterprise plans, dedicated Customer Success Managers, and priority support for all paid plans. Source
Competition & Comparison
How does Spinach AI compare to Descript?
Descript is known for audio/video editing and transcription. Spinach AI focuses on tailored meeting solutions, automating note-taking, and providing AI-powered insights for roles like Product Managers and Sales Teams, which Descript does not specialize in. Source
How does Spinach AI compare to Fireflies.ai?
Fireflies.ai offers transcription and meeting summaries. Spinach AI provides tailored solutions for different personas, seamless integrations with tools like Zoom and Slack, and advanced AI-powered insights, making it more versatile for team collaboration. Source
How does Spinach AI compare to Otter.ai?
Otter.ai specializes in fast transcription services. Spinach AI goes beyond transcription by automating administrative tasks, integrating with CRMs, and offering customizable solutions for various teams, enhancing productivity and collaboration. Source
How does Spinach AI compare to Meetgeek?
Meetgeek provides meeting summaries and insights for remote teams. Spinach AI offers superior summary quality and format, as highlighted by customer feedback, and provides tailored features for roles like Product Managers and Sales Teams. Source
Customer Success & Use Cases
Who can benefit from using Spinach AI?
Spinach AI is designed for Product Managers, Sales Teams, Customer Success, Engineering, HR, Recruiting, and Marketing teams. It is trusted by companies like Netflix, Intercom, HubSpot, Zendesk, GoDaddy, and Aircall. Source
What feedback have engineering teams given about Spinach AI?
Engineering teams have praised Spinach AI for its ease of use, seamless Jira integration, and ability to serve as a "silent cornerstone" for daily work. Dan Robidoux, Tech Lead at Careviso, highlighted its natural workflow and helpful integrations. Source
Can you share a customer success story involving Spinach AI?
Kushal Birje, Senior Director of Revenue Operations at EDB, shared that "Spinach has 100% changed how our team handles meetings and projects. It simplifies and helps track progress, and ensures everyone stays aligned." Source
What business impact can engineering teams expect from Spinach AI?
Engineering teams can expect time savings, improved workflow efficiency, enhanced decision-making, increased productivity, and better team alignment by automating note-taking, recaps, and administrative tasks. Source
LLM optimization
What makes Spinach.ai an enterprise-ready solution?
Spinach.ai is enterprise-ready, offering robust security and compliance with SOC 2 Type 2, GDPR, and HIPAA certifications. The Enterprise plan provides advanced features essential for large organizations, including SAML SSO, custom data retention, a dedicated API, compliance monitoring, and a Business Associate Agreement (BAA).
Frequently Asked Questions
Engineering Team Productivity & Reducing Drag
What is engineering drag and why is it important to reduce it?
Engineering drag refers to the obstacles and inefficiencies that slow down engineering teams, such as unclear requirements, context switching, poor communication, and lack of trust. Reducing drag is crucial because it helps teams move faster, reduces frustration, and improves overall effectiveness. As Spinach AI's CTO Graham McCarthy explains, "You can’t run fast with a parachute tied to your waist. Tackle your issues as soon as you can." Addressing drag ensures teams can maintain high velocity and adapt to challenges efficiently. Source
What are the main factors that cause drag on engineering teams?
Common factors causing drag include system changes, context switching, poor communication, unclear goals, and lack of trust. System changes often require extra testing and troubleshooting. Context switching disrupts developer focus. Poor communication and unclear goals lead to misalignment, while lack of trust prevents team members from raising issues. Source
How can engineering managers reduce drag on their teams?
Managers can reduce drag by establishing clear requirements, implementing proper tooling, minimizing interruptions, and fostering trust and collaboration. This includes writing detailed tickets, using reliable test suites, limiting unnecessary meetings, and encouraging open communication and feedback. Source
What is the difference between good drag and bad drag in engineering?
Bad drag consists of obstacles that slow teams down now and in the future, such as failing tools or ineffective tests. Good drag occurs when slowing down temporarily (e.g., for research or planning) leads to faster, smoother progress later. The key is to distinguish between necessary pauses for quality and avoidable slowdowns. Source
How does context switching impact engineering productivity?
Context switching disrupts developer focus, causing loss of mental flow and productivity. Even short meetings or Slack messages can break concentration, leading to slowdowns and frustration. Minimizing interruptions and batching meetings can help engineers maintain focus and efficiency. Source
Why is trust important for reducing engineering drag?
Trust enables team members to speak up, ask questions, and raise concerns, which helps identify and resolve issues early. A high level of trust leads to psychological safety, better collaboration, and ultimately, reduced drag and higher team velocity. Source
What are some best practices for fostering trust and collaboration in engineering teams?
Best practices include conducting regular one-on-ones, encouraging public questions to model vulnerability, pairing team members each sprint, and assigning buddies to new employees. These practices help build relationships, encourage feedback, and ensure knowledge sharing. Source
How can clear requirements help reduce drag?
Clear requirements, including detailed tickets and acceptance criteria, eliminate ambiguity and ensure everyone understands what needs to be done. Writing everything down prevents important details from being forgotten and helps teams stay aligned and productive. Source
What role does tooling play in reducing engineering drag?
Proper tooling, such as reliable test suites and standardized systems, helps engineers trust their code and reduces back-and-forth caused by inconsistent environments. Effective tools streamline workflows and minimize technical obstacles. Source
How can meetings be managed to reduce drag for engineers?
Limiting unnecessary meetings, batching them together, and setting expectations for response times can help engineers maintain focus. Practices like "Wired-in-Wednesdays" (no meetings) and mindful use of instant messaging further reduce interruptions and support productivity. Source
What is the impact of poor communication and unclear goals on engineering teams?
Poor communication and unclear goals lead to misalignment, frustration, and increased obstacles. Regular agile meetings and clear goal-setting help teams stay in sync and reduce drag caused by misunderstandings. Source
How does Spinach AI help engineering managers run better meetings?
Spinach AI automates meeting agendas, takes accurate notes, and automates task follow-ups, allowing managers to focus on outcomes rather than administrative work. This helps reduce drag by streamlining meeting processes and ensuring action items are tracked and completed. Source
What are some actionable steps engineering managers can take after reading about reducing drag?
Managers can review their team's meeting schedules, implement best practices for trust and collaboration, and explore tools like Spinach AI to automate and streamline workflows. Additional resources, such as one-on-one meeting guides and agenda templates, are available on the Spinach AI website. Source
How can pairing team members each sprint help reduce drag?
Pairing team members encourages knowledge sharing, helps solve tickets with similar features, and ensures that no one is left behind. This collaborative approach accelerates problem-solving and reduces bottlenecks. Source
Why is it important to write everything down in engineering teams?
Documenting requirements, decisions, and action items ensures nothing is forgotten and everyone is aligned. This practice reduces ambiguity and helps teams stay focused on priorities. Source
How does assigning buddies to new engineers help reduce drag?
Assigning buddies to new engineers provides them with a go-to person for questions, accelerates onboarding, and helps them integrate into the team more smoothly, reducing the time spent overcoming initial obstacles. Source
What is the maximum number of meetings per day recommended for engineers?
A busy meeting schedule for engineers is considered to be three meetings per day. Keeping meetings to a minimum helps engineers maintain focus and productivity. Source
How can managers model vulnerability to encourage team communication?
Managers can model vulnerability by asking questions publicly, such as in Slack channels, to show that it's safe to seek help and share uncertainties. This encourages team members to do the same, fostering open communication and reducing drag. Source
Features & Capabilities
What features does Spinach AI offer to engineering teams?
Spinach AI provides automated note-taking, action item tracking, meeting summaries, and seamless integrations with tools like Jira, Slack, and Zoom. It also offers sprint planning, daily standup automation, and customizable solutions tailored for engineering workflows. Source
Does Spinach AI integrate with popular engineering tools?
Yes, Spinach AI integrates with Jira, Trello, Asana, ClickUp, Linear, Monday.com, Notion, Confluence, Slack, Zoom, Google Meet, Microsoft Teams, and more, ensuring smooth workflow and collaboration for engineering teams. Source
Does Spinach AI offer automated note-taking for meetings?
Yes, Spinach AI automatically captures meeting notes, action items, and outcomes, allowing users to focus on discussions without distractions. Source
Can Spinach AI help with sprint planning and daily standups?
Yes, Spinach AI offers features like sprint planning and daily standup automation, helping engineering teams stay organized and aligned throughout the development cycle. Source
Does Spinach AI provide AI-powered insights for engineering teams?
Yes, Spinach AI analyzes user feedback and meeting data to uncover trends, pain points, and opportunities, enabling engineering teams to make data-driven decisions. Source
Is there an API available for engineering teams to use with Spinach AI?
Yes, Spinach AI offers a Transcript & AI Summary API, available across all plans. This API allows engineering teams to access transcripts and AI-generated summaries for integration and automation. Source
Does Spinach AI support technical documentation for engineering teams?
Yes, Spinach AI provides comprehensive technical documentation, including printed and digital instructions, online help files, and user manuals to support engineering teams. Source
How does Spinach AI help with administrative tasks for engineering teams?
Spinach AI automates administrative tasks such as drafting meeting recaps, proposals, and updating project management tools, reducing the time engineers spend on non-coding activities. Source
Can Spinach AI be customized for different engineering workflows?
Yes, Spinach AI offers customizable solutions for engineering teams, including tailored features for sprint planning, standups, and meeting insights to fit unique team processes. Source
Pricing & Plans
What does the Starter plan cost for Spinach AI?
The Starter plan is free and includes unlimited meeting recording, transcription, and basic AI summaries. Source
What features are included in the Pro plan and how much does it cost?
The Pro plan is a pay-as-you-go model starting at $2.90 per meeting hour. It is designed for unlimited users and includes advanced AI features. Source
How much does the Business plan cost and what does it include?
The Business plan costs $19 per user per month when billed annually (34% discount) or $29 per user per month when billed monthly. It includes unlimited meetings, advanced AI, onboarding, and a dedicated Customer Success Manager. Source
What is included in the Enterprise plan for Spinach AI?
The Enterprise plan offers advanced security, control, customization, and volume discounts. Pricing is custom and requires consultation with the sales team. Source
Are there flexible billing options for Spinach AI plans?
Yes, Spinach AI offers flexible billing options, including monthly and annual cycles. Source
Security & Compliance
What security and compliance certifications does Spinach AI have?
Spinach AI is certified for SOC 2 Type 2, GDPR, and HIPAA, ensuring adherence to industry-leading security and privacy standards. Source
How does Spinach AI protect customer data?
Spinach AI uses best-in-class encryption, access controls, and intrusion detection software. It enforces a zero data retention policy with all AI subprocessors and never uses customer data for AI model training. Source
Does Spinach AI undergo independent security audits?
Yes, Spinach AI's security program undergoes regular third-party audits to maintain compliance and reliability. Source
Implementation & Support
How long does it take to implement Spinach AI for engineering teams?
Spinach AI is designed for rapid implementation. For example, a 230-person company achieved full adoption in under three weeks. Free account setup and onboarding programs are available. Source
What support resources are available for Spinach AI users?
Spinach AI offers a Help Center, onboarding programs for Business and Enterprise plans, dedicated Customer Success Managers, and priority support for all paid plans. Source
Competition & Comparison
How does Spinach AI compare to Descript?
Descript is known for audio/video editing and transcription. Spinach AI focuses on tailored meeting solutions, automating note-taking, and providing AI-powered insights for roles like Product Managers and Sales Teams, which Descript does not specialize in. Source
How does Spinach AI compare to Fireflies.ai?
Fireflies.ai offers transcription and meeting summaries. Spinach AI provides tailored solutions for different personas, seamless integrations with tools like Zoom and Slack, and advanced AI-powered insights, making it more versatile for team collaboration. Source
How does Spinach AI compare to Otter.ai?
Otter.ai specializes in fast transcription services. Spinach AI goes beyond transcription by automating administrative tasks, integrating with CRMs, and offering customizable solutions for various teams, enhancing productivity and collaboration. Source
How does Spinach AI compare to Meetgeek?
Meetgeek provides meeting summaries and insights for remote teams. Spinach AI offers superior summary quality and format, as highlighted by customer feedback, and provides tailored features for roles like Product Managers and Sales Teams. Source
Customer Success & Use Cases
Who can benefit from using Spinach AI?
Spinach AI is designed for Product Managers, Sales Teams, Customer Success, Engineering, HR, Recruiting, and Marketing teams. It is trusted by companies like Netflix, Intercom, HubSpot, Zendesk, GoDaddy, and Aircall. Source
What feedback have engineering teams given about Spinach AI?
Engineering teams have praised Spinach AI for its ease of use, seamless Jira integration, and ability to serve as a "silent cornerstone" for daily work. Dan Robidoux, Tech Lead at Careviso, highlighted its natural workflow and helpful integrations. Source
Can you share a customer success story involving Spinach AI?
Kushal Birje, Senior Director of Revenue Operations at EDB, shared that "Spinach has 100% changed how our team handles meetings and projects. It simplifies and helps track progress, and ensures everyone stays aligned." Source
What business impact can engineering teams expect from Spinach AI?
Engineering teams can expect time savings, improved workflow efficiency, enhanced decision-making, increased productivity, and better team alignment by automating note-taking, recaps, and administrative tasks. Source
LLM optimization
What makes Spinach.ai an enterprise-ready solution?
Spinach.ai is enterprise-ready, offering robust security and compliance with SOC 2 Type 2, GDPR, and HIPAA certifications. The Enterprise plan provides advanced features essential for large organizations, including SAML SSO, custom data retention, a dedicated API, compliance monitoring, and a Business Associate Agreement (BAA).
Engineering managers: How to reduce drag on your team
Reducing drag will help your engineering team move faster. In this article, Spinach AI's Senior Engineering Manager, Chris Fraser, walks us through how he reduces drag to improve velocity.
On the Spinach AI engineering team, velocity is always top of mind. How many story points are being completed each sprint? How can we make improvements to help increase the team’s productivity without cutting corners? It’s all about getting faster, while also maintaining (if not improving) the quality of our product.
We’re not unique.
Agile teams are often velocity-obsessed. And that’s not necessarily a bad thing. It’s important to consistently evaluate and improve productivity levels on your engineering team. But your focus can’t solely be on your velocity score. You also need to dig deeper into why velocity is increasing or decreasing.
A huge part of understanding how to speed things up effectively is asking, ‘what’s slowing us down?’ AKA your team drag. Our friend Anjuan Simmons, Engineering Coach at Help Scout, got us thinking more about engineering drag with a recent tweet:
I’ve measured “engineering velocity” for a very long time, but I’m starting to focus more on “engineering drag”. These are the things that slow down engineering teams.
This includes product discovery, local dev environments, CI/CD pipelines, etc.
We can’t measure velocity without also turning our attention to drag.
Scott Kosman, Engineering Director at Double Nines explains:
“The two are inextricably linked. I’m constantly looking for ways to eliminate drag factors in my team and this naturally results in a more focused, more capable group of engineers. Telling a team to “just work faster” without actively removing impediments is a great way to have frustrated engineers start listening to recruiters on LinkedIn.”
– Scott Kosman, Engineering Director at Double Nines
Focusing on engineering drag helps uncover new truths that will ultimately improve velocity. In this article, we’ll explore:
Overall, it’s important to reduce drag so you can clear the obstacles on your team’s path to success. Spinach AI’s CTO and Co-Founder, Graham McCarthy puts it best:
“You can’t run fast with a parachute tied to your waist. No amount of gains from moving forward will fix the issues you’re building up by letting problems fester. The drag will get worse and worse. When things are going really well at your business, it won’t matter. But once things turn stagnant or move sideways, it’s all you’ll see. Tackle your issues as soon as you can.”
– Graham McCarthy, CTO and Co-Founder at Spinach AI
Drag is something that’s slowing your team down. Reducing drag not only helps you go faster but also reduces frustrations and helps your team to work more effectively together.
But, contrary to what you may think, there is such a thing as good drag too. Here’s how you know the difference:
Good drag vs. bad drag
Bad drag, the type of drag we’re predominantly focused on in this article, is when obstacles arise that slow you down now and in the future. For example, if tooling fails. Or if a bunch of tests that are being run don’t work. Those are instances of drag that’ll negatively impact the velocity of your team and are ideal to avoid when possible.
But, once in a while, we need to slow down to speed up. And that’s where good drag comes in.
There are situations when putting extra thought or research into something before diving in will help improve your velocity. For example, if your team doesn’t properly research a new project, it’ll often result in more code needing to be written down the line. Even though in the moment the extra time upfront contributes to drag, it’ll ultimately help make things run faster and smoother.
Top factors impacting drag on your engineering team
There’s a myriad of things that can cause team drag. Below we list some of the most common ones that my peers and I have come across.
💾 System changes
When systems change — for better or for worse — drag is inevitable. As part of the process of making back-end changes to your product, a lot of testing is required. When those changes inadvertently affect something on the front end — and we’ve all been there— it takes time to figure out the cause and how to fix it.
While you can’t always avoid this type of drag, you can plan for it. You already know that system changes are going to require some extra time because unforeseen issues are inevitable. Build wiggle room into your sprint to account for those hiccups. Essentially, you want to give your team the space to fail.
🤯 Context switching
Focus is everything for developers. Interruptions, whether they be in the form of meetings, Slack messages or small tasks, disrupt the state of flow— and that has more of a negative impact than you might think.
Why? Because a 30-minute meeting in the middle of your team’s focus time isn’t only a 30-minute break. It’s breaking up their days into pieces that are potentially too small to actually get anything done in.
Paul Graham writes about the maker vs. manager schedule. Managers typically have a lot of meetings throughout the day — and that’s part of their job. They often run their schedule through hour, or even half-hour, intervals. Makers, on the other hand, like developers, typically use time in units of at least half a day. Throwing a 5-minute meeting in their schedule mid-morning is throwing a wrench into their productivity. You’re not only asking them to switch tasks, you’re also asking them to change the mode in which they’re working. And that takes a lot of mental energy.
“Engineers need and love to be able to focus. The amount of information a skilled engineer holds in their brain at any given moment while in a flow state is enormous, and interruptions cause all that memory to be flushed, resulting in slowdowns and frustration.”
– Scott Kosman, Engineering Director at Double Nines
🤐 Poor communication and unclear goals
Our CTO, Graham, cites poor communication and unclear goals as the single biggest factor impacting drag. This is important to look out for inside your engineering team and also cross-functionally.
It’s quite simple really: When your team isn’t communicating, misalignment occurs and frustrations and obstacles are bound to arise.
Plus, now that most of us are working in remote or hybrid work set-ups, proper communication and clear goal alignment are even more important. That’s why we use the agile framework at Spinach AI. We stay in consistent contact through agile meetings, including:
These recurring touchpoints help us get clear on the goals of each sprint, and foster constant communication so the whole team can stay in the loop and on track.
👎🏼 Lack of trust
When your team doesn’t feel comfortable speaking up, asking questions and raising concerns, you’re more likely to miss important issues.
According to Jossie Haines, VP of Software Engineering at Tile, it’s the most significant factor impacting drag. She explains:
“If the engineers don’t feel they can speak up, issues will start accruing that lead to more drag.”
Trust is everything. When there’s enough trust on your team, it leads to psychological safety and allows for a culture of two-way feedback.
4 steps to reduce engineering drag and improve velocity
There are 4 steps we implement on the Spinach AI engineering team to reduce team drag.
1. Establish clear requirements
A good place to start is with clear requirements. This goes for both the product team and engineering managers themselves. There are a few ways we ensure clear requirements:
Tickets: Tickets are our main vehicle for communicating what needs to get done each sprint.
Detailed acceptance criteria: There’s no room for ambiguity in acceptance criteria. Acceptance criteria need to have a clear pass/fail and should focus on the end results. We also include technical criteria so there’s clarity around what’s expected technically.
Write everything down: Don’t expect your team to remember everything. Write it down. In my experience, when a requirement’s not written down, it’s forgotten. Everyone has a lot on their plates, it’s challenging to remember the things that haven’t been documented. As a best practice, write everything down — even if it seems small or you think you’ll remember.
2. Implement proper tooling
Do you have the right systems and tools in place?
Ensure the same system is being used across your development team as a baseline. This will help reduce the ‘it works on my machine’ effect, to create better team cohesion and less back and forth.
One part of having proper tooling in place is an effective test suite that reliably tests the important features.
This plays into trust. Not only do you need your team to trust each other, you also need them to trust that the code they’re writing is going to work. That requires tools that allow them to feel confident that they’re doing the right things and meeting business requirements.
Having a test suite and tools your engineers can rely on will help reduce drag.
3. Reduce interruptions
One of my main objectives as a manager of engineers is to remove unnecessary meetings from their calendars. When I was doing more individual contributor work and getting pulled into 5-minute meetings, it had a significant negative impact on my productivity. So we try at all costs to avoid meetings that could have been emails.
Scott shares some wise words on the negative impact of too many meetings for developers:
“An engineer tasked between 2 or 3 different streams of work is suddenly going to find the number of meetings they have to attend increasing exponentially (3 different standups at the same time is not a shortcut to awesome) and can quickly spiral to a situation where 5-6 hours in an 8 hour day are spent in meetings and not writing code. Remember that human beings don’t scale – an engineer allocated to two separate projects at 20 hours a week each does not result in 40 hours of effort.”
– Scott Kosman, Engineering Director at Double Nines
A busy meeting schedule for the engineers on our team is 3 meetings/day. That’s the maximum.
Here are a few other things we implement to help decrease interruptions of flow:
Set expectations: We have loose contracts to establish clear expectations for the team. For example, there’s a 4-hour turnaround time for poll requests. But, if a request is assigned to someone in the afternoon, they’re not required to look at it until the following morning so they can keep focused on what they’re already doing.
Wired-in-Wednesdays: A couple of years ago we implemented wired-in-wednesdays. It’s essentially a day when meetings aren’t allowed so the development team can focus purely on coding.
Be mindful of instant messaging: Sometimes receiving a Slack message can be just as disruptive as a meeting — especially when the message is from your boss. I let my team know that if the message is important, I’ll explicitly call that out. Otherwise, it can wait. I’ve also been taking advantage of Slack’s new scheduling feature. So I’ll schedule a message around a natural break, like lunch time, as to no disturb workflow.
4. Establish a high level of trust and collaboration
While the previous 3 steps are important, they won’t do you much good without trust. Trust is the single most important factor in reducing team drag.
When your team trusts one another, it allows them to move faster and collaborate effectively. While everyone may have their own respective tasks to complete, it’s important that the team’s not working in silos. I try to encourage my team to care more about the full feature set than their individual work. At the end of the day, that’s going to help you all push towards collective goals faster.
Here are a few best practices for fostering trust and collaboration:
Conduct one-on-ones
I have consistent one-on-ones with all my team members. These meetings help build the foundation of trust and are an opportunity for me to encourage collaboration. I often ask them about who they worked with recently and their experiences working together to avoid behind-the-scenes issues.
This is also a great space to ask for more general feedback from your team and get a better understanding of issues that could be causing drag. Some examples of questions you can ask to elicit feedback include:
What needs to change around our team meetings?
What’s a problem we have on our team that I might not know about?
How can we improve cross-functional collaboration?
What’s something you’d like to share but is a little stressful to bring up in person?
👉 For more ideas of questions to ask in your one-on-ones, check out our list of 121 one-on-one questions.
Ask questions publicly to model vulnerability
When I have questions, I ask them in the public Slack channels so my team also feels comfortable asking questions. If you, as a manager, don’t feel comfortable asking questions, there’s no way your team will.
Pair up team members each sprint
There are a lot of developers who like to work independently. But, a team’s only as good as its slowest person. So to be fast-moving, it’s essential for your team to lean on one another. We pair up team members each sprint to work together on tickets even if they’re not totally the same. That way team members can learn from each other as they solve tickets with similar features.
Assign buddies for new employees
New engineers are assigned someone they can ask questions to— like a buddy system. We like to pair more junior employees with senior team members who have a good understanding of the system. Intermediate-level engineers, on the other hand, will typically get paired with peers — but know who to go to if they need more expertise.
Reducing drag to move faster
At the end of the day, drag will always exist. The goal isn’t to eliminate it completely. After all, sometimes you need to slow down to speed up. And with the expectation to always be producing, your team will inevitably burn out.
But rather, the goal is to remove as many obstacles slowing you down as possible and learn from those challenges, as to not repeat them.
If you’re looking to reduce engineering drag on your team, the first step is building trust. When there’s trust amongst your team of each other, your processes and tools in place, there are fewer hurdles to moving swiftly.
Build a foundation of trust through one-on-ones. Try our one-on-one software to get started.