Platform

AI

AI Agents
Sense, decide, and act faster than ever before
AI Visibility
See how your brand shows up in AI search
AI Feedback
Distill what your customers say they want
Amplitude MCP
Insights from the comfort of your favorite AI tool

Insights

Product Analytics
Understand the full user journey
Marketing Analytics
Get the metrics you need with one line of code
Session Replay
Visualize sessions based on events in your product
Heatmaps
Visualize clicks, scrolls, and engagement

Action

Guides and Surveys
Guide your users and collect feedback
Feature Experimentation
Innovate with personalized product experiences
Web Experimentation
Drive conversion with A/B testing powered by data
Feature Management
Build fast, target easily, and learn as you ship
Activation
Unite data across teams

Data

Warehouse-native Amplitude
Unlock insights from your data warehouse
Data Governance
Complete data you can trust
Security & Privacy
Keep your data secure and compliant
Integrations
Connect Amplitude to hundreds of partners
Solutions
Solutions that drive business results
Deliver customer value and drive business outcomes
Amplitude Solutions →

Industry

Financial Services
Personalize the banking experience
B2B
Maximize product adoption
Media
Identify impactful content
Healthcare
Simplify the digital healthcare experience
Ecommerce
Optimize for transactions

Use Case

Acquisition
Get users hooked from day one
Retention
Understand your customers like no one else
Monetization
Turn behavior into business

Team

Product
Fuel faster growth
Data
Make trusted data accessible
Engineering
Ship faster, learn more
Marketing
Build customers for life
Executive
Power decisions, shape the future

Size

Startups
Free analytics tools for startups
Enterprise
Advanced analytics for scaling businesses
Resources

Learn

Blog
Thought leadership from industry experts
Resource Library
Expertise to guide your growth
Compare
See how we stack up against the competition
Glossary
Learn about analytics, product, and technical terms
Explore Hub
Detailed guides on product and web analytics

Connect

Community
Connect with peers in product analytics
Events
Register for live or virtual events
Customers
Discover why customers love Amplitude
Partners
Accelerate business value through our ecosystem

Support & Services

Customer Help Center
All support resources in one place: policies, customer portal, and request forms
Developer Hub
Integrate and instrument Amplitude
Academy & Training
Become an Amplitude pro
Professional Services
Drive business success with expert guidance and support
Product Updates
See what's new from Amplitude

Tools

Benchmarks
Understand how your product compares
Templates
Kickstart your analysis with custom dashboard templates
Tracking Guides
Learn how to track events and metrics with Amplitude
Maturity Model
Learn more about our digital experience maturity model
Pricing
LoginContact salesGet started

AI

AI AgentsAI VisibilityAI FeedbackAmplitude MCP

Insights

Product AnalyticsMarketing AnalyticsSession ReplayHeatmaps

Action

Guides and SurveysFeature ExperimentationWeb ExperimentationFeature ManagementActivation

Data

Warehouse-native AmplitudeData GovernanceSecurity & PrivacyIntegrations
Amplitude Solutions →

Industry

Financial ServicesB2BMediaHealthcareEcommerce

Use Case

AcquisitionRetentionMonetization

Team

ProductDataEngineeringMarketingExecutive

Size

StartupsEnterprise

Learn

BlogResource LibraryCompareGlossaryExplore Hub

Connect

CommunityEventsCustomersPartners

Support & Services

Customer Help CenterDeveloper HubAcademy & TrainingProfessional ServicesProduct Updates

Tools

BenchmarksTemplatesTracking GuidesMaturity Model
LoginSign Up

How to Build Product-Oriented Engineering Teams

Engineers, this is how your team can get better at influencing product.
Insights

Dec 11, 2018

14 min read

Ryan Ashcraft

Ryan Ashcraft

Former Senior Software Engineer, Amplitude

How to Build Product-Oriented Engineering Teams

Product-oriented engineering teams do more than just write code. They’re more than just a feature factory; they’re co-owners of the product experience. They look at the full picture to understand the value and impact of what they’re building. They talk to customers. And they rigorously analyze and measure the performance of features to unearth opportunities to improve.

Building and being a product-oriented team isn’t without its challenges. From staying involved with product and design decision-making to encouraging any and all ideas on a cultural level, here are five ways engineering teams can better influence the products that they’re working on.

Product Oriented Engineering Teams from Amplitude

1. Don’t Get Siloed Off From Product and Design

If you want your team to influence product, you can’t get siloed off from product and design.

In typical product organizations, you’ll have different functional roles. In many cases (but not necessarily all), you’ll have your product managers (or an equivalent role), your designers, and your engineers. These roles tend to have a clear understanding of what they’re responsible for. The PMs are responsible for understanding the discovery and the problem space. Designers are responsible for exploring the solution space and coming up with the solution. Then, engineers are responsible, as you know, for executing on that solution and delivering a quality product in the end. In this scenario, it’s really easy to get your blinders on and focus heads down on one particular aspect.

What good engineering teams do

Good engineering teams will strive to influence product decision-making by avoiding a function-separated dynamic. They’ll invest in building really strong relationships with their colleagues on these other teams. In the best case scenario, they’ll also hold themselves accountable to the same product metrics and product goals that the rest of the organization is responsible for. In the end, this breeds a true sense of equally shared ownership over the product. No team owns the product more than another.

Good engineering teams will strive to influence product decision-making by avoiding a function-separated dynamic.

In an opposite scenario, engineers who are completely siloed off are heads down and focused on execution. This tends to fuel office politics and put stress on relationships between different teams. The product suffers.

Communication helps everyone move faster

At Amplitude, one of the things I enjoy the most about working is are the strong relationships we have built with our engineering, product, and design teams. But even here, there have been instances where engineers have incidentally isolated themselves and caused pain in the end.

Take this example. Below, you’ll see a screenshot of all the different colors and buttons that we have in our app. This was taken a few months ago and as you can tell, there are a lot of colors and buttons. This translates into a lot of duplicated code and a lot of code maintenance.

We have so many color variations to choose from, which ended up taking a lot of time for both the engineering and design teams.

Brand colors and buttons for engineering and design-min

For the longest time, the front-end engineering team was bellyaching about this problem and saying, “Why can’t designers give us designs that are consistent and have the same buttons. Why do we have to keep creating all these new colors?”

Eventually, after a year of complaining internally, the engineers finally decided it was time to sit down with the design team and actually hash it out. When we did, we were surprised to find out that the design team actually wanted to do this as well. They had just assumed that we wouldn’t be bought in and wouldn’t be interested in actually taking on this challenge.

So even here at Amplitude, where we have such great relationships, we still fell into the trap of siloing ourselves out. It’s really unfortunate that we went so long without communicating the issue (and finally tackling it at its core).

2. Recognize the Value of Iteration

If I were to ask “how do you build a car?” what would you say?

The naïve answer would be “Henry Ford.” You have an assembly line, each of your parts, and you go down the line. In the end, you build a car. Right?

Not so fast.

Here at Amplitude, we use Henrik Kniberg’s metaphor to highlight the value of product development. In the exercise above, you’d end up with a car, but is it the type of car you actually needed to build? Maybe you’ve focused too much on the interior, and the exterior doesn’t match the latest styles consumers are looking for. Or maybe you realized after-the-fact that you should have installed a mini TV in the back seat. Either way, you overlooked important details because you jumped straight to building the final product that you thought should be built.

We prefer to design solutions by focusing on the real problem at hand. With a car, the real problem is that you’re trying to get from point A to point B. How can we deliver a solution that solves this problem as quickly as possible in order for us to learn and figure out what to do after that?

To simply get from point A to point B, the easiest thing we can do is just take a block of wood, sand it down, add some wheels, and we have a skateboard. Then, we can go out there with our new skateboard, try it out, show our friends, get their feedback, and figure out what to do from there.

Building a car probably doesn’t start with an actual car. It probably starts with something much simpler, like a skateboard. That’s the value of iteration.

The value of product iteration

Maybe next we apply our learnings from our skateboard to build a scooter that ends up being a better scooter than if we hadn’t built the skateboard to begin with. By repeating this process and having this constant interaction loop, hopefully at the end we have a car that we’re much happier with. Or, maybe it ends up not being a car. Maybe we end up with a spaceship.

Your product development process should help you build a better product

Engineers have a lot of knowledge about the solution space and should be involved in every product iteration. A good example of this is Taxonomy, one of our most successful features. It solves a bunch of different use cases to help teams manage their data. If you look at the original mock-up Taxonomy, you see that all it was focused on was adding the feature set to allow you to categorize and describe the events that you send to us.

Our starting point for Taxonomy included limited features.

Product development should build a better product-min

Over time, this design evolved from skateboard to scooter and scooter to bicycle. The end product (below) encompassed many more different problems such as setting up filters to filter out PII data or sensitive data and transforming your data to make it less messy.

After several iterations, Taxonomy took a different form to bring more features, and therefore more value, to our users.

How engineers can influence product design-min

Scope is important. That does not necessarily mean scoping things down. If you’re given a design and you realize as an engineer that this design isn’t going to help your team learn what to do next, you should push back and suggest increasing scope to deliver a product or feature that will generate learnings and help you figure out what to do next. Or maybe it means coming up with some creative alternatives.

If you’re given a design and you realize as an engineer that this design isn’t going to help your team learn what to do next, you should push back and suggest increasing scope to deliver a product or feature that will generate learnings and help you figure out what to do next.

3. Directly Interact with Customers

To influence product direction, engineers need to directly interact with customers. From a product strategy perspective, if you want to influence the product and make your voice heard, you really need to have an understanding of how your customers are talking about a particular problem.

We actually have a Slack channel called #customer-notes where we log all interactions with our customers along with key takeaways from client calls. We also sometimes include video recordings of these interactions.

Amplitude engineers stay connected with customers by participating in client calls.

Engineers need to talk with customers-min

In the image above, you’ll notice there are two engineers, a designer, and a product person. We believe this type of interaction is so important for engineers. There is nothing more inspirational or insightful than direct customer interactions. And oftentimes, we’ve had engineers walk out of a meeting with a customer and ship a fix or an improvement that very same day. While reading the Customer Notes Slack channel and watching videos are great, you can’t substitute being present with the customer. If other roles are working with customers and engineering is not, you’re going to have a really difficult time justifying your arguments for product strategy.

If you want to influence the product and make your voice heard, you really need to have an understanding of how your customers are talking about a particular problem.
Related Reading: Better Practices for Building Integrations

4. Understand How Features Are Being Used

If you want to have your voice heard to influence the direction of the product that you’re working on, you really need to know your stuff when it comes to how people are behaving in your product today.

Product-oriented engineering teams wait to celebrate their wins until after they’ve shipped product and are able to measure the results (and therefore the impact) of what they built. This is unlike most product teams, who celebrate as soon as they’ve shipped.

The reality is that an engineering team wants to have more influence on product strategy. Simply shipping product is no longer the end goal. Instead, the goal becomes to build the best product possible. This involves analyzing the impact of features and understanding and learning from user behaviors. There’s no reason that your engineering team can’t own this part of the process if you have the data available to you.

Product-oriented engineering teams wait to celebrate their wins until after they’ve shipped product and are able to measure the results.

A couple of our engineers digging into product analytics!

Engineers should run analytics-min
Related Reading: How to Set Metrics for Product Launches

5. Encourage Experimentation

Any good engineering team is going to have a set of processes in place to keep the code-quality bar high. That could include unit tests or code reviews. This process can actually have a negative side effect, though. You might have other people within the company who have good ideas and some coding skills, but they feel intimidated or they don’t have the time to get onboarded with your company’s experimentation process. So, their ideas never get tested out.

Related Reading: Why Experiment?

Breed innovation by creating opportunities for experimentation

At Amplitude, we’ve seen well-intended engineering processes inhibit experimentation. A few years ago, we realized some back-end engineers and designers were actually afraid to make contributions to the front-end team. They thought it was too much work, or they were afraid that they were going to break something, or that they’d get nasty code review comments.

In response, we built Labs, a solution that allows anyone within the company to test out their ideas. It’s basically a product sandbox. You can build to your heart’s content without worrying about experimentation processes or breaking anything for any of our customers.

Labs is our way to give people space to just be creative, and it’s worked out pretty well for us.

Great products come from experimentation-min

Labs are actually really simple and work like this: Our front-end code base is one single repo and we’ve set it up so you can have it point to any one of our back ends. That way you don’t have to have the back end running yourself. To create a new sandboxed lab, you simply create a new directory and write some JavaScript. You’re free to pull in whatever dependency you want. This code is isolated, separated from our main JavaScript bundle. This means creators can rest easy at night knowing that they won’t be breaking anything. And they won’t be impeded the normal thorough code review process, so they can get experiments into the hands of select customers really quickly!

Creating a culture for experimentation has had a noticeable impact on our company. Many of our best features released in the last few years were born out of Labs, including our Insight package for monitoring and alerting our Personas chart type, our Engagement Matrix chart type, and our team spaces concept.

Insight, which came out of Labs, tracks user actions to help you keep an eye on product performance.

Create a workplace culture for experimentation-min

It’s important not to lose sight of the relationship between experimentation and innovation. Engineers have a big responsibility to ensure that there’s a culture of experimentation in your company. You should be thinking about how to remove obstacles to enable other people within the company to test those skateboards.

Don’t Focus on Building the Car. Build the Best Possible Engineering Team.

If you’re an engineer who wants to build the best possible product, invest all your energy into building the best possible engineering team first. Nurture relationships with design and product. Embrace cross-functional teams or what we call “pods” here at Amplitude. Prioritize experimentation. Encourage a healthy sense of creativity. And don’t be afraid to build a few skateboards along the way.

About the author
Ryan Ashcraft

Ryan Ashcraft

Former Senior Software Engineer, Amplitude

More from Ryan

Ryan was formerly on the Product Engineering team at Amplitude. He is passionate about building delightful user experiences and designing robust applications. Prior to Amplitude, Ryan worked as a frontend engineer at Yahoo, built some iOS apps, and studied at Georgia Tech.

More from Ryan
Topics
Platform
  • Product Analytics
  • Feature Experimentation
  • Feature Management
  • Web Analytics
  • Web Experimentation
  • Session Replay
  • Activation
  • Guides and Surveys
  • AI Agents
  • AI Visibility
  • AI Feedback
  • Amplitude MCP
Compare us
  • Adobe
  • Google Analytics
  • Mixpanel
  • Heap
  • Optimizely
  • Fullstory
  • Pendo
Resources
  • Resource Library
  • Blog
  • Product Updates
  • Amp Champs
  • Amplitude Academy
  • Events
  • Glossary
Partners & Support
  • Contact Us
  • Customer Help Center
  • Community
  • Developer Docs
  • Find a Partner
  • Become an affiliate
Company
  • About Us
  • Careers
  • Press & News
  • Investor Relations
  • Diversity, Equity & Inclusion
Terms of ServicePrivacy NoticeAcceptable Use PolicyLegal
EnglishJapanese (日本語)Korean (한국어)Español (Spain)Português (Brasil)Português (Portugal)FrançaisDeutsch
© 2025 Amplitude, Inc. All rights reserved. Amplitude is a registered trademark of Amplitude, Inc.

Recommended Reading

article card image
Read 
Insights
The Product Benchmarks Every B2B Technology Company Should Know

Dec 11, 2025

5 min read

article card image
Read 
Company
How Amplitude Taught AI to Think Like an Analyst

Dec 11, 2025

8 min read

article card image
Read 
Product
Amplitude + OpenAI: Get New Insights in ChatGPT via MCP

Dec 10, 2025

3 min read

article card image
Read 
Product
Introducing the Next Frontier of Analytics: Automated Insights

Dec 10, 2025

5 min read

Explore Related Content

Integration
Using Behavioral Analytics for Growth with the Amplitude App on HubSpot

Jun 17, 2024

10 min read

Personalization
Identity Resolution: The Secret to a 360-Degree Customer View

Feb 16, 2024

10 min read

Product
Inside Warehouse-native Amplitude: A Technical Deep Dive

Jun 27, 2023

15 min read

Guide
5 Proven Strategies to Boost Customer Engagement

Jul 12, 2023

Video
Designing High-Impact Experiments

May 13, 2024

Startup
9 Direct-to-consumer Marketing Tactics to Accelerate Ecommerce Growth

Feb 20, 2024

10 min read

Growth
Leveraging Analytics to Achieve Product-Market Fit

Jul 20, 2023

10 min read

Product
iFood Serves Up 54% More Checkouts with Error Message Makeover

Oct 7, 2024

9 min read

Blog
InsightsProductCompanyCustomers
Topics

101

AI

APJ

Acquisition

Adobe Analytics

Amplify

Amplitude Academy

Amplitude Activation

Amplitude Analytics

Amplitude Audiences

Amplitude Community

Amplitude Feature Experimentation

Amplitude Guides and Surveys

Amplitude Heatmaps

Amplitude Made Easy

Amplitude Session Replay

Amplitude Web Experimentation

Amplitude on Amplitude

Analytics

B2B SaaS

Behavioral Analytics

Benchmarks

Churn Analysis

Cohort Analysis

Collaboration

Consolidation

Conversion

Customer Experience

Customer Lifetime Value

DEI

Data

Data Governance

Data Management

Data Tables

Digital Experience Maturity

Digital Native

Digital Transformer

EMEA

Ecommerce

Employee Resource Group

Engagement

Event Tracking

Experimentation

Feature Adoption

Financial Services

Funnel Analysis

Getting Started

Google Analytics

Growth

Healthcare

How I Amplitude

Implementation

Integration

LATAM

Life at Amplitude

MCP

Machine Learning

Marketing Analytics

Media and Entertainment

Metrics

Modern Data Series

Monetization

Next Gen Builders

North Star Metric

Partnerships

Personalization

Pioneer Awards

Privacy

Product 50

Product Analytics

Product Design

Product Management

Product Releases

Product Strategy

Product-Led Growth

Recap

Retention

Startup

Tech Stack

The Ampys

Warehouse-native Amplitude