Customer Retention

The Scary Six: Response Lag

By
Steve Hazelton
February 26, 2024
5 min read

I was speaking to the COO of one of our customers a few weeks back, and he said that Sturdy’s “Response Lag” signal was his “Laptop Smasher.” This signal is defined as a “customer is asking for a status update on an unresolved issue.” If your goal is to make sure your customers feel heard, then it is a bad one.

While not AI-based, the attached regex will help you find some of these messages on your own. If your support or BI system allows you to filter on inbound messages it will provide cleaner results. (There’s quite a bit of contextual difference between a customer asking for an update and one of your people asking a customer for an update).

In most cases, this signal is pretty rare. Typically, it occurs about once per every 1,000 conversations (again, only detecting messages “coming in” from a customer).This signal is important to track for two reasons. The first is that it is almost never self-reported. It is rare for a customer-facing person to say, “Yeah, the customer is upset because I never got back to them.” I am almost certain that you have CS/Support teammates who have a much higher incidence of this signal than your best performers. It also means that you have a grumpy customer that you don’t know about.

The second reason is that Response Lags provide really good data for resolving hidden process or product gaps. If a customer is asking for an update on an issue, it is likely that several other customers are asking about the same thing. Every business is different, but Response Lags will likely indicate that there is a product, process, or person responsible for the plurality of them.

At Sturdy, we use machine learning to track, record, and alert you of Response Lags. We’re also working on some cool stuff that will track the response time of any open issue from any conversation (without requiring a customer to hit the “is this resolved?” button).

How cool would it be to have a dashboard of every “waiting for a response,” email, chat or phone call? We’re working on it.

Give the regex a try, and feel free to DM me with any questions. I hope you don’t smash a laptop. Of course, please regale us in the comments of any learnings you’d like to share on the subject.

Do that hard things,

Steve

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Integrations

Product Update! Sturdy now integrates with Jira

Joel Passen
March 10, 2025
5 min read

We’re making it easier than ever to turn customer feedback into action while saving businesses hundreds of thousands of dollars per year. With Sturdy’s new Jira Connect, any AI-powered Signal in Sturdy can be automatically logged in Jira—helping teams capture, prioritize, and resolve issues faster than ever.

Sturdy for Jira is a Game Changer

Every team needs to know more about their customers. 

Turn customer feedback into valuable Jira content automatically. Sturdy’s AI accurately detects feature requests, bug reports, and other critical product feedback. Customizable agents then deliver this context-rich intelligence to a configurable staging area in Jira with all relevant user and account details, such as segment, ARR, and more. The content is objectively summarized automatically. From there, assigning it to an epic, task, sprint, or release is just one click.

Productivity Gains that Move the Needle

Businesses are unknowingly spending hundreds of thousands of dollars per year on something as simple as manually logging Jira issues. A single customer-facing rep wastes nearly 87 hours annually on repetitive data entry—scaling up to a staggering $354,200 per year for a team of 100 reps. By integrating Sturdy’s AI-driven automation, businesses can reclaim thousands of hours, improve productivity, and reinvest those savings into growth and innovation—all while ensuring more accurate, real-time data flows into Jira effortlessly.

Align product teams with customer reality.

By centralizing AI-powered insights in Jira, Sturdy ensures that product and engineering teams get a complete, objective picture of what’s working, what’s broken, and what needs to be built—without relying on anecdotal feedback. Customer-reported issues appear in Jira moments after they happen, ensuring your product and engineering teams stay ahead of emerging trends and critical bugs—without the lag of traditional reporting.

Effortless setup, immediate impact.

Sturdy’s turnkey integration takes minutes to configure. Once connected, your team gains instant access to context-rich, structured feedback—helping you make faster, data-driven decisions that improve customer satisfaction.

Want to get started? Click the 'Schedule Demo' button at the top of the page.

Integrations

Product Update! Sturdy Now Analyzes Customer Slack Channels

Joel Passen
March 3, 2025
5 min read

We’re making it easier than ever for teams to tap into the power of customer conversations. With this integration, Sturdy’s AI-driven insights—trained to spot key behaviors and trends unique to your business—are now right where your team works. That means more proactive decisions, better collaboration, and a serious productivity boost.

Here’s how Sturdy works with Slack.

  • Get the right insights, right in Slack. Sturdy delivers AI-powered Signals where your team already works, flagging risks, expansion opportunities, and other key moments in real-time. No more digging through conversations—just actionable insights when you need them.

  • Stay on top of every conversation. If your team works asynchronously in Slack channels, it’s easy for important feedback to get lost. Sturdy keeps you ahead by surfacing critical insights before they slip through the cracks.

  • Act fast, not after the fact. Whether it’s a service risk, a feature request, or a potential upsell, Sturdy helps teams spot and respond to what matters—without disrupting their workflow.

Seamless sync with your tools. Sturdy doesn’t just stop at Slack. Insights discovered in customer Slack channels automatically flow into Jira, CSPs, CRMs, and other systems, ensuring the right teams get the right info—without extra work.

Customer Intelligence

He doesn’t talk much, but when he does, you’d better listen.

Steve Hazelton
February 27, 2025
5 min read

He doesn’t talk much, but when he does, you’d better listen.

Quote from C-3PO, Star Wars: A New Hope

A few days ago, I spoke to a business leader, and they asked, "How would Sturdy work for customers who never contact us?"

"Do you know who those customers are?"

"No idea."

"Would you like to?"

“Dark Customers.” It is almost impossible to source this list. Your customer might be dark to five silos, and bright in just one. 

(By the way, there is a little-known filter in the Accounts page of Sturdy that lets you sort by “Last Inbound.”  Check it out. You can see the last time any customer sent you an inbound message.)

Let’s be fair. In a recurring-revenue business, a lack of inbound contact isn’t necessarily bad. Sometimes your customers don’t feel the need to chat with you, but they like you just the same. 

But, here’s the cool thought. What should happen when a Dark Customer suddenly reaches out? 

For example, Acme Corp sends an email to your CS team for the first time in 18 months. What needs to happen next?

I would want to know. So, we’re working on that. Naming such a signal is a bit tricky, if you have ideas, let us know.

How many customers will you have to lose before you try Sturdy?

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