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During my experience as an Engineering Manager, I’ve learned a lot of lessons about how to build engaged teams (as well as how not to build them!). I was a stickler for doing things in certain ways and didn’t do enough to bring people along with my thinking, and I burned some trust with some of my engineers in doing so.
In the Engineering org, we’ve thought deeply about how to foster long-term growth opportunities for people. Like some companies, our progression track for engineers splits in two after senior engineer – either continuing as an IC at staff or principal levels, or taking a turn into people management. Engineering career path.
For the very first time, we’re releasing Engineer Chats , an internal podcast here at Intercom about all things engineering. Previously hosted by Jamie Osler , a Senior Product Engineer at Intercom for over seven years, it’s now up to Principal Systems Engineer Brian Scanlan to pick up the baton and keep the chats going.
Alert fatigue is a common problem among engineering teams that handle operations and maintain infrastructure. The result is lots of semi-meaningful alerts, noise, context-switching, and multitasking for the on-call engineer. Are the steps clear enough to be followed by any engineer on the team? Is the alert still relevant?
For this model to work, your product has to be genuinely desirable to the users you want to engage as the company's engine of growth. Participants in this webinar will learn: A framing model of the key decisions that give a product a chance to succeed and fuel the engine of growth.
When you reach senior level on an engineering track, you’re expected to be optimal in your hard skill set. Despite not having a formal education in engineering, Sarah landed a job as a developer in the French consultant Grand Manitou. Then, four years ago, in 2018, she got a job at Algolia as a software engineer.
Ever tried to convince engineers they are doing something wrong? What do these consultants know about engineering anyway? However, the issue at hand was not bad engineering, it was poor commercialization. #NoBullshitCX #20yearsFuturelab “Consumers should care. Check that.”
[link] Enhancing Customer and Agent Experience with AI-Powered Solutions: A Salesforce-Led Market Perspective [link] Ten Ways to Turn Organizational Silos into Collaboration Engines [link] The post Agent AI Is Exploding in Contact CentersYet the Human Experience Remains Irreplaceable appeared first on Eglobalis.
As a principal engineer, you can effectively be operating as a team of one – and that makes it a little trickier to manage your time. . At Intercom, we believe that a principal engineer should “set goals autonomously and at the level of scope and ambition usually associated with a team.” Engineering org needs.
As an innovative concept, Developer Experience (DX) has gained significant attention in the tech industry, and emphasizes engineers’ efficiency and satisfaction during the product development process. Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.
Which came first, the call recorder or the recording engine? Honestly, it doesn't matter as they serve to very different use cases. Read more about each in this new blog.
This level of personalization would be impossible to achieve manually, especially for large companies with thousands or millions of customers: · Amazon : Amazon’s AI-driven recommendation engine analyzes browsing history, past purchases, and customer preferences to deliver personalized product recommendations.
AI tools like recommendation engines (used by Netflix and Amazon) demonstrate how anticipating preferences fosters deeper customer loyalty. A McKinsey study found that AI-driven personalization not only increases engagement but also leads to measurable results such as 20-30% higher upsell success rates and significant cost savings.
Jeff joins me today to talk about Co-Pilot for Service, the impact […] The post Lessons learnt from testing Copilot for service across tens of thousands of service engineers – Interview with Jeff Comstock of Microsoft first appeared on Adrian Swinscoe.
So far, on the engineering side, we’ve covered the importance of keeping it simple and being technically conservative. First off, our Group Engineering Manager, Levent Ali , explains how engineers should be taking ownership of the solution. Today, we’re going to tackle two more.
It breathes life into your engineering team, and teams across the company, as customer issues and requests are resolved quickly and efficiently. We encourage engineers to ship the smallest thing (we call them cupcakes ) as quickly as possible, and every new hire on our engineering team ships a feature within their first week.
Sell more stuff to new buyers within your customer base: You can think about who the adjacent buyers are within your company, so if you’re selling to marketing, could you also sell to sales, if you’re selling to engineering could you also sell to product. Focus your roadmap on optimizing it, and only then … Find your new revenue engine.
As it turns out, he’s also quite the writer – since the last time we spoke , he has published not one but two books on engineering. After writing An Elegant Puzzle about the challenges of engineering management in high-growth organizations, his focus shifted to a career path that’s much less understood – the technical leadership track.
” Personalization Engines Personalization tools such as Sitecore, Oracle, SAP, Dynamic Yield and Optimizely deliver tailored content and product recommendations based on individual user data. These engines analyse customer behaviour, preferences, and purchase history to provide a more relevant and customized experience.
Personalization Engines: Personalization tools like Sitecore and Dynamic Yield analyze customer behavior and preferences to deliver customized content and product recommendations, driving engagement and fostering stronger customer relationships. These tools enhance customer satisfaction through efficient, personalized communication.
That skill required constant practice – an unrealistic ask for the majority of product engineers who are busy delivering product. For that, we needed to get traces into the hands of engineers as soon as possible. Engineers had a small set of convenient methods to add custom instrumentation to their code.
[link] / Enhancing Customer and Agent Experience with AI-Powered Solutions: A Salesforce-Led Market Perspective [link] Deep Dive into Loyalty and Experience Drivers in the Tech WorldThe Blueprint for Building Long-Term B2B Relationships [link] AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success [link] Empowering (..)
Maybe the idea that feedback can be good can land in some diehard engineer mind better, if the feedback is from the bot? Early-stage customer development, narrowing down many options to a few prioritized ones, endless iterations of changes this is their use case.
Jeff joins me today to talk about Co-Pilot for Service, the impact […] The post Lessons learnt from testing Copilot for service across tens of thousands of service engineers – Interview with Jeff Comstock of Microsoft first appeared on Adrian Swinscoe. Today’s interview is with Jeff Comstock, CVP of Dynamics 365 Customer Service at Microsoft.
And while seeing this work come to fruition, Sam, a Product Engineer at Intercom, was inspired to find more ways to get involved. My team’s lead engineer stopped what he was doing and announced to the all-male room, ‘Looks like the token female engineer has arrived.’ Know the scope of the issue.
I’ve led teams of engineers for almost a decade but when I look back at my own management career I regularly thought I was a “good manager”, at times even a great one. As a software engineer, no matter how senior you are, you always seek code reviews before deploying new code to production. . Always ask for advice. Don’t blame, own.
Will it require significant engineering hours or new infrastructure? Challenges : Evaluating feasibility involves input from product teams, designers, R&D, engineers, and operations. Actionable Suggestion : Collaborate closely with your engineering and product teams to assess technical challenges early.
Whether you’re a customer support representative or a product engineer, you will encounter issues and problems that you just don’t have the answer to. While I learned this skill as a support engineer, even now as a product engineer, the 15-Minute Rule is still something I use regularly. Navigating the way to a solution.
Take the example of Cisco , which created a centralized CX team that coordinates efforts between engineering, sales, and customer support to manage complex B2B relationships. This level of alignment allows each department to work toward the shared goal of enhancing CX without duplicating efforts or missing critical details.
From premature optimization to over-engineering solutions for your product, it’s easy to get caught up in making technology decisions that slow you down instead of speeding you up. These things are usually artifacts of some engineer’s Objectives and Key Results (OKRs). The top ten technical strategies to avoid.
154 Actionable Steps to Use Customer Experience to Fuel Growth Using customer experience (CX) as a growth engine requires strategic planning and execution. Example Action: Implement AI-driven recommendation engines on your website to suggest products or services based on browsing history.
This speed allows designers and engineers to explore multiple scenarios, formats, shapes, and avenues simultaneously, something that traditional design methods could not accommodate even in digital design. The implementation of CAD models based on AI-generated concepts further streamlines the transition from design to engineering.
I mean that in a very practical sense: PMs, Designers, and Engineers at Intercom use our R&D principles every single day to guide their decision-making. What’s more, we haven’t hired hundreds of brilliant PMs, designers, and engineers just to ask them to unquestioningly follow a cheat sheet. “If Intercom is built on principles.
New software engineers quickly learn that a lot of complexity arises from error handling. It’s hard to balance investment optimally across ML, product, engineering, and design. You might easily be over-engineering your solution or solving slightly the wrong problem. We can’t assume the ML will always perfectly do what we want.
We’d like to share some insights from what we’ve learned so far about software delivery and operations over the past few weeks of working from home during COVID-19 , and how we as an engineering team have adjusted to this unprecedented, unpredictable situation. New situation, new processes? What do we need to change?
. “Everyone who works on our product inherits the three top-level principles and then also the principles appropriate to their domain” We have three top-level principles for how we build software, five product design principles, and five engineering principles. Engineering principles. Our deliverable is not the design file.
noted that call centers with banks and call center agents fall victim to social engineering. For example, many times fraudsters start by socially engineering call center agents to give away or change sensitive information, which the fraudsters use during follow-up online transactions to steal money out of customer accounts.”
After all, excellent design and engineering can only come from product teams that are empowered to solve hard problems and build great software. In our model, product teams effectively own a piece of the product, and consist of a Product Manager, Designer, and a few Product Engineers. Alignment on great product teams.
Our product engineers are empowered to build great features, fast. So we decided to do something contrary to our engineering principles – run our search infrastructure ourselves on Elastic Compute Cloud hosts, or EC2 as it’s known. In Intercom, we believe that shipping is our company’s heartbeat.
Chronologically, many companies started by layering new tools onto old systemsperhaps adding a social listening service here or a text analytics engine there. These integrated approaches were not built overnight. Over time, the need to connect dots led to centralized CX platforms. appeared first on Eglobalis.
GE Aviation : GE Aviation provides aircraft engines and associated services. Their customer success team leverages predictive maintenance tools and data analytics to monitor engine performance and recommend preventive actions to airline clients.
Other fields of study that had more than one representative were computer science, mathematics, engineering, history, and sociology. Out of 35 total responses, 53 majors, minors, and graduate degrees were represented, and some clear leaders emerged. 30% have degrees in business administration, 9% in marketing, 7.5%
Obviously our goal, like any product and engineering team, is to ship great software that customers, love, value use, etc. And then we five engineering principles, again, specific to the discipline of engineering. Everyone inherits the top three, and then if you’re an engineer, you’ve got five engineering principles on top.
AI and Survey Length AI driven survey engines can enhance shorter surveys by providing adaptive probing. Aim for 815 clear, targeted questions that customers can answer easily in under five minutes. This range is usually the sweet spot for delivering actionable insights without overwhelming your customers.
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