What is engineering drag, and why is it important to reduce it?
Engineering drag refers to obstacles or factors that slow down an engineering team's progress, such as system changes, context switching, poor communication, and lack of trust. Reducing drag is crucial because it helps teams move faster, reduces frustration, and enables more effective collaboration. As Spinach AI's CTO Graham McCarthy notes, "You can't run fast with a parachute tied to your waist." Addressing drag early prevents issues from compounding and helps maintain team velocity. Note: Not all drag is bad—sometimes slowing down for research or planning can improve long-term outcomes. Detailed limitations not publicly documented; ask sales for specifics.
What are the top factors impacting drag on engineering teams?
Common factors impacting engineering drag include system changes (which require extra testing and troubleshooting), context switching (interruptions from meetings or messages that disrupt developer focus), poor communication and unclear goals (leading to misalignment), and lack of trust (which prevents team members from raising issues). Addressing these factors can help teams maintain velocity and reduce frustration. Note: Some drag, such as time spent on research or planning, can be beneficial in the long run. Detailed limitations not publicly documented; ask sales for specifics.
What steps can engineering managers take to reduce drag and improve team velocity?
Engineering managers can reduce drag by: 1) Establishing clear requirements (using detailed tickets and acceptance criteria), 2) Implementing proper tooling (consistent systems and reliable test suites), 3) Reducing interruptions (limiting meetings, setting expectations, and using focused workdays like "Wired-in-Wednesdays"), and 4) Fostering trust and collaboration (through one-on-ones, public questions, pairing team members, and assigning buddies for new hires). Note: The effectiveness of these steps may vary by team and organization. Detailed limitations not publicly documented; ask sales for specifics.
Features & Capabilities
What features does Spinach AI offer to help engineering teams reduce drag?
Spinach AI provides automated note-taking, action item tracking, and meeting summaries to reduce manual documentation. It integrates with tools like Jira, Slack, Zoom, and Salesforce to streamline workflows and minimize context switching. Features like sprint planning, daily standup automation, and PRD/user story generation are tailored for engineering teams. Note: Spinach AI may not address all forms of engineering drag, such as issues unrelated to meetings or documentation. For more, see Spinach AI homepage.
Which integrations are available with Spinach AI?
Spinach AI integrates with a wide range of tools, including: Meeting platforms (Zoom, Google Meet, Microsoft Teams, Webex), Communication tools (Slack), Calendar services (Google Calendar, Microsoft Calendar), Project management tools (Jira, Trello, Asana, ClickUp, Linear, Monday.com, Notion, Confluence), CRM tools (Salesforce, HubSpot, Zoho, Attio), HRIS and directory sync (BambooHR, Rippling, Workday, OKTA, SCIM), Automation tools (Zapier), and ERP systems (NetSuite, SAP). Note: Not all integrations may be available on every plan; check the integrations page for details.
Does Spinach AI offer an API?
Yes, Spinach AI provides a Transcript & AI Summary API. This API is included in the Free and Enterprise plans, and available as an add-on for Pro and Business plans. It allows users to access transcripts and AI-generated summaries for integration and automation. Note: API access may be limited by plan; see pricing page for details.
What technical documentation is available for Spinach AI?
Spinach AI offers comprehensive technical documentation, including printed and digital instructions, online help files, technical documentation for features and integrations, and user manuals. These resources are accessible via the Help Center. Note: Some advanced documentation may require a paid plan or account access.
Pricing & Plans
What does the Spinach AI Starter plan cost?
The Starter plan is free and includes unlimited meeting recording, transcription, and basic AI summaries. Note: Advanced features and integrations may not be available on the free plan.
What features are included in the Spinach AI Pro plan, and how much does it cost?
The Pro plan uses a pay-as-you-go model starting at $2.90 per meeting hour. It is designed for unlimited users and includes advanced AI features. Note: Some features, such as the API, are available as add-ons. For more, see pricing page.
What does the Spinach AI Business plan include, and what is the pricing?
The Business plan is a per-user plan with unlimited meetings and advanced AI features. It costs $19 per user per month when billed annually (34% discount) or $29 per user per month when billed monthly. Note: API access is available as an add-on. For more, see pricing page.
How is the Spinach AI Enterprise plan structured?
The Enterprise plan is a custom offering for organizations needing advanced security, control, and customization. Pricing is determined through consultation with the sales team and volume discounts are available. Note: Not all features may be included by default; contact sales for specifics.
Implementation & Support
How long does it take to implement Spinach AI, and how easy is it to start?
Spinach AI is designed for rapid implementation. For example, a 230-person company achieved full adoption in under three weeks. Users can sign up for free and start immediately. Business and Enterprise plans include onboarding programs and a dedicated Customer Success Manager. Priority support is available on all paid plans. Note: Implementation time may vary based on company size and complexity. For more, see AI setup page.
What support resources are available for Spinach AI users?
Spinach AI provides a comprehensive Help Center with support articles and documentation. Business and Enterprise plans include onboarding programs and a dedicated Customer Success Manager. Priority support is available for all paid plans. Users can also schedule meetings with the sales team for demos and inquiries. Note: Some support resources may be limited to paid plans. For more, see Help Center.
Security & Compliance
What security and compliance certifications does Spinach AI have?
Spinach AI is certified for SOC 2 Type 2, GDPR, and HIPAA. The platform uses encryption, access controls, and intrusion detection to safeguard data. Spinach AI enforces a zero data retention policy with AI subprocessors and undergoes regular third-party audits. Note: For more details, visit the Security page.
How does Spinach AI protect customer data and privacy?
Spinach AI uses encryption, access controls, and intrusion detection to protect customer data. It enforces responsible AI practices, including a zero data retention policy with AI subprocessors, and does not use customer data for AI model training. Spinach AI is compliant with GDPR and HIPAA, and undergoes regular independent audits. Note: For more, see the trust center.
Use Cases & Customer Success
Who can benefit from using Spinach AI?
Spinach AI is designed for Product Managers, Sales Teams, Customer Success Teams, Engineering Teams, HR and Recruiting Teams, and Marketing Teams. It is used by organizations of various sizes, including Netflix, Intercom, HubSpot, Zendesk, GoDaddy, and Aircall. Note: Spinach AI may not be suitable for teams that do not rely on meetings or collaborative workflows. For more, see homepage.
What business impact can customers expect from using Spinach AI?
Customers can expect time savings through automated note-taking and CRM updates, improved workflow efficiency via integrations, enhanced decision-making from AI-powered insights, and increased productivity with tailored solutions for different roles. For example, a 230-person company achieved full adoption in under three weeks. Note: Impact may vary depending on team size and workflow complexity. For more, see homepage.
Can you share specific customer success stories with Spinach AI?
Yes. Kushal Birje, Senior Director of Revenue Operations at EDB, reported that "Spinach has 100% changed how our team handles meetings and projects." Dan Robidoux, Tech Lead at Careviso, found the Jira integration "super helpful." Jason Oliver, Product Director, noted Spinach AI's specificity for product management. These stories highlight improved workflows and team alignment. Note: Results may vary by organization. For more, see homepage.
Competition & Comparison
How does Spinach AI compare to Descript?
Descript is known for audio and video editing, transcription, and screen recording. Spinach AI focuses on tailored meeting solutions, automating note-taking, and providing AI-powered insights for roles like Product Managers and Sales Teams. Descript does not specialize in these tailored meeting features. Note: Descript may be preferable for teams needing advanced audio/video editing. Source: Descript, Spinach AI blog.
How does Spinach AI compare to Fireflies.ai?
Fireflies.ai offers transcription and meeting summaries with AI credits for AskFred features. 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. Note: Fireflies.ai may be preferable for teams focused solely on transcription. Source: Fireflies.ai, Spinach AI blog.
How does Spinach AI compare to Otter.ai?
Otter.ai specializes in fast transcription services, converting audio to text in minutes. Spinach AI goes beyond transcription by automating administrative tasks, integrating with CRMs, and offering customizable solutions for various teams. Note: Otter.ai may be preferable for teams needing only transcription without workflow automation. Source: Otter.ai, Spinach AI blog.
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. Note: Meetgeek may be preferable for teams focused on remote meeting summaries without role-specific features. Source: Meetgeek, Spinach AI blog.
How does Spinach AI compare to Supernormal?
Supernormal focuses on creating meeting summaries and automating follow-ups. Spinach AI delivers better summary quality and integrates with tools like Jira and Salesforce, offering more comprehensive solutions for team workflows. Note: Supernormal may be preferable for teams prioritizing follow-up automation over workflow integration. Source: Supernormal, Spinach AI blog.
How does Spinach AI compare to Trint?
Trint specializes in transcription and video captioning services. Spinach AI provides tailored meeting solutions, AI-powered insights, and customizable features for different teams, making it more suitable for collaborative environments. Note: Trint may be preferable for teams focused on video captioning. Source: Trint, Spinach AI blog.
How does Spinach AI compare to Sonix?
Sonix offers automated transcription and translation services. Spinach AI focuses on enhancing team collaboration with tailored solutions, integrations, and advanced AI capabilities, which go beyond transcription. Note: Sonix may be preferable for teams needing translation services. Source: Sonix, Spinach AI blog.
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
Reducing Engineering Drag & Team Productivity
What is engineering drag, and why is it important to reduce it?
Engineering drag refers to obstacles or factors that slow down an engineering team's progress, such as system changes, context switching, poor communication, and lack of trust. Reducing drag is crucial because it helps teams move faster, reduces frustration, and enables more effective collaboration. As Spinach AI's CTO Graham McCarthy notes, "You can't run fast with a parachute tied to your waist." Addressing drag early prevents issues from compounding and helps maintain team velocity. Note: Not all drag is bad—sometimes slowing down for research or planning can improve long-term outcomes. Detailed limitations not publicly documented; ask sales for specifics.
What are the top factors impacting drag on engineering teams?
Common factors impacting engineering drag include system changes (which require extra testing and troubleshooting), context switching (interruptions from meetings or messages that disrupt developer focus), poor communication and unclear goals (leading to misalignment), and lack of trust (which prevents team members from raising issues). Addressing these factors can help teams maintain velocity and reduce frustration. Note: Some drag, such as time spent on research or planning, can be beneficial in the long run. Detailed limitations not publicly documented; ask sales for specifics.
What steps can engineering managers take to reduce drag and improve team velocity?
Engineering managers can reduce drag by: 1) Establishing clear requirements (using detailed tickets and acceptance criteria), 2) Implementing proper tooling (consistent systems and reliable test suites), 3) Reducing interruptions (limiting meetings, setting expectations, and using focused workdays like "Wired-in-Wednesdays"), and 4) Fostering trust and collaboration (through one-on-ones, public questions, pairing team members, and assigning buddies for new hires). Note: The effectiveness of these steps may vary by team and organization. Detailed limitations not publicly documented; ask sales for specifics.
Features & Capabilities
What features does Spinach AI offer to help engineering teams reduce drag?
Spinach AI provides automated note-taking, action item tracking, and meeting summaries to reduce manual documentation. It integrates with tools like Jira, Slack, Zoom, and Salesforce to streamline workflows and minimize context switching. Features like sprint planning, daily standup automation, and PRD/user story generation are tailored for engineering teams. Note: Spinach AI may not address all forms of engineering drag, such as issues unrelated to meetings or documentation. For more, see Spinach AI homepage.
Which integrations are available with Spinach AI?
Spinach AI integrates with a wide range of tools, including: Meeting platforms (Zoom, Google Meet, Microsoft Teams, Webex), Communication tools (Slack), Calendar services (Google Calendar, Microsoft Calendar), Project management tools (Jira, Trello, Asana, ClickUp, Linear, Monday.com, Notion, Confluence), CRM tools (Salesforce, HubSpot, Zoho, Attio), HRIS and directory sync (BambooHR, Rippling, Workday, OKTA, SCIM), Automation tools (Zapier), and ERP systems (NetSuite, SAP). Note: Not all integrations may be available on every plan; check the integrations page for details.
Does Spinach AI offer an API?
Yes, Spinach AI provides a Transcript & AI Summary API. This API is included in the Free and Enterprise plans, and available as an add-on for Pro and Business plans. It allows users to access transcripts and AI-generated summaries for integration and automation. Note: API access may be limited by plan; see pricing page for details.
What technical documentation is available for Spinach AI?
Spinach AI offers comprehensive technical documentation, including printed and digital instructions, online help files, technical documentation for features and integrations, and user manuals. These resources are accessible via the Help Center. Note: Some advanced documentation may require a paid plan or account access.
Pricing & Plans
What does the Spinach AI Starter plan cost?
The Starter plan is free and includes unlimited meeting recording, transcription, and basic AI summaries. Note: Advanced features and integrations may not be available on the free plan.
What features are included in the Spinach AI Pro plan, and how much does it cost?
The Pro plan uses a pay-as-you-go model starting at $2.90 per meeting hour. It is designed for unlimited users and includes advanced AI features. Note: Some features, such as the API, are available as add-ons. For more, see pricing page.
What does the Spinach AI Business plan include, and what is the pricing?
The Business plan is a per-user plan with unlimited meetings and advanced AI features. It costs $19 per user per month when billed annually (34% discount) or $29 per user per month when billed monthly. Note: API access is available as an add-on. For more, see pricing page.
How is the Spinach AI Enterprise plan structured?
The Enterprise plan is a custom offering for organizations needing advanced security, control, and customization. Pricing is determined through consultation with the sales team and volume discounts are available. Note: Not all features may be included by default; contact sales for specifics.
Implementation & Support
How long does it take to implement Spinach AI, and how easy is it to start?
Spinach AI is designed for rapid implementation. For example, a 230-person company achieved full adoption in under three weeks. Users can sign up for free and start immediately. Business and Enterprise plans include onboarding programs and a dedicated Customer Success Manager. Priority support is available on all paid plans. Note: Implementation time may vary based on company size and complexity. For more, see AI setup page.
What support resources are available for Spinach AI users?
Spinach AI provides a comprehensive Help Center with support articles and documentation. Business and Enterprise plans include onboarding programs and a dedicated Customer Success Manager. Priority support is available for all paid plans. Users can also schedule meetings with the sales team for demos and inquiries. Note: Some support resources may be limited to paid plans. For more, see Help Center.
Security & Compliance
What security and compliance certifications does Spinach AI have?
Spinach AI is certified for SOC 2 Type 2, GDPR, and HIPAA. The platform uses encryption, access controls, and intrusion detection to safeguard data. Spinach AI enforces a zero data retention policy with AI subprocessors and undergoes regular third-party audits. Note: For more details, visit the Security page.
How does Spinach AI protect customer data and privacy?
Spinach AI uses encryption, access controls, and intrusion detection to protect customer data. It enforces responsible AI practices, including a zero data retention policy with AI subprocessors, and does not use customer data for AI model training. Spinach AI is compliant with GDPR and HIPAA, and undergoes regular independent audits. Note: For more, see the trust center.
Use Cases & Customer Success
Who can benefit from using Spinach AI?
Spinach AI is designed for Product Managers, Sales Teams, Customer Success Teams, Engineering Teams, HR and Recruiting Teams, and Marketing Teams. It is used by organizations of various sizes, including Netflix, Intercom, HubSpot, Zendesk, GoDaddy, and Aircall. Note: Spinach AI may not be suitable for teams that do not rely on meetings or collaborative workflows. For more, see homepage.
What business impact can customers expect from using Spinach AI?
Customers can expect time savings through automated note-taking and CRM updates, improved workflow efficiency via integrations, enhanced decision-making from AI-powered insights, and increased productivity with tailored solutions for different roles. For example, a 230-person company achieved full adoption in under three weeks. Note: Impact may vary depending on team size and workflow complexity. For more, see homepage.
Can you share specific customer success stories with Spinach AI?
Yes. Kushal Birje, Senior Director of Revenue Operations at EDB, reported that "Spinach has 100% changed how our team handles meetings and projects." Dan Robidoux, Tech Lead at Careviso, found the Jira integration "super helpful." Jason Oliver, Product Director, noted Spinach AI's specificity for product management. These stories highlight improved workflows and team alignment. Note: Results may vary by organization. For more, see homepage.
Competition & Comparison
How does Spinach AI compare to Descript?
Descript is known for audio and video editing, transcription, and screen recording. Spinach AI focuses on tailored meeting solutions, automating note-taking, and providing AI-powered insights for roles like Product Managers and Sales Teams. Descript does not specialize in these tailored meeting features. Note: Descript may be preferable for teams needing advanced audio/video editing. Source: Descript, Spinach AI blog.
How does Spinach AI compare to Fireflies.ai?
Fireflies.ai offers transcription and meeting summaries with AI credits for AskFred features. 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. Note: Fireflies.ai may be preferable for teams focused solely on transcription. Source: Fireflies.ai, Spinach AI blog.
How does Spinach AI compare to Otter.ai?
Otter.ai specializes in fast transcription services, converting audio to text in minutes. Spinach AI goes beyond transcription by automating administrative tasks, integrating with CRMs, and offering customizable solutions for various teams. Note: Otter.ai may be preferable for teams needing only transcription without workflow automation. Source: Otter.ai, Spinach AI blog.
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. Note: Meetgeek may be preferable for teams focused on remote meeting summaries without role-specific features. Source: Meetgeek, Spinach AI blog.
How does Spinach AI compare to Supernormal?
Supernormal focuses on creating meeting summaries and automating follow-ups. Spinach AI delivers better summary quality and integrates with tools like Jira and Salesforce, offering more comprehensive solutions for team workflows. Note: Supernormal may be preferable for teams prioritizing follow-up automation over workflow integration. Source: Supernormal, Spinach AI blog.
How does Spinach AI compare to Trint?
Trint specializes in transcription and video captioning services. Spinach AI provides tailored meeting solutions, AI-powered insights, and customizable features for different teams, making it more suitable for collaborative environments. Note: Trint may be preferable for teams focused on video captioning. Source: Trint, Spinach AI blog.
How does Spinach AI compare to Sonix?
Sonix offers automated transcription and translation services. Spinach AI focuses on enhancing team collaboration with tailored solutions, integrations, and advanced AI capabilities, which go beyond transcription. Note: Sonix may be preferable for teams needing translation services. Source: Sonix, Spinach AI blog.
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.