Blog

12/16/2025

The engine that makes Google Cloud’s customer stories more human

By Carolyn Lange

The engine that makes Google Cloud’s customer stories more human

Image by Rachel Adams

If you work in marketing, you’ve probably noticed that customer stories tend to follow a familiar pattern. Useful, sure, but not always the most compelling way to show what a team actually built or why it matters. 

Over the last year, we’ve built an internal engine with our Google Cloud partners that helps us tell these stories differently. Instead of only dropping customers into a problem, solution, results template (which has its time and place), we start with richer inputs, dig deeper for voice and nuance, and craft pieces that read more like real conversations.

Starting strong with thoughtful inputs 

One thing we love about working with our Google Cloud clients is the way they encourage their customers to be thorough in our intake form. Product marketing managers and account teams take the time to set expectations and give customers space to answer thoughtfully. That means we often start with: 

We don’t need every diagram or service dependency to write a strong story… but having them helps us choose the right details. Better too much information than too little when you’re translating something like a migration to Cloud Run or Target’s use of AlloyDB AI into a narrative anyone can follow. 

Digging deeper, however the customer works best 

Our discovery process is intentionally flexible. Sometimes we hop on a Google Meet with the customer and ask follow-up questions live. Other times, everything happens asynchronously in doc comments, letting people think before they answer. This mix of structured inputs and flexible follow-up gives customers the space to be thoughtful and selective in what they share. It also lets us meet them exactly where they work best, something that feels especially natural in our Google partnerships. 

When we do meet, we listen for how Google’s customers talk about their project: what they emphasize, what they gloss over, and what sounds too exciting to ignore (like Google’s AI Hypercomputer). That’s where their voice lives and what makes each story unique. 

Writing from their perspective 

This is where the magic happens. Instead of locking ourselves into the classic case-study phrasing, we write many of our dev-centric stories the way the customer would actually tell it.

For example, a traditional case study might say: 

“The team migrated its workloads to GKE to improve scalability.” 

But the customer would say: 

“We moved our workloads to GKE so we could scale without babysitting infrastructure.” 

A scrappy startup modernizing on GKE sounds nothing like a research team building a GenAI pipeline with Gemini. That’s why we let each piece find its own rhythm. And because Google encourages a more human, conversational tone, we’re able to keep the writing lively, even when we’re deep in architecture decisions or GenAI pipelines. Their stories can be technical and still feel witty, warm, and unmistakably human. 

Process makes perfect 

A huge part of why this works is project management on our end (shout out to Google Cloud process expert Sal) and on Google’s. Internally, we keep the machine humming by coordinating schedules, tracking templates, meeting with the client, managing approvals, and quietly removing roadblocks before anyone notices them. 

And we couldn’t do any of it without our Google Cloud partner marketing managers. They know their customers and products inside out, and they give us the right context and guidance to make each story shine.  

At its core, the success of our Google Cloud customer story engine comes down to four things: 

  1. Thorough inputs that help us understand the full scope of the story 
  2. Flexible discovery that pulls out authentic voice 
  3. Perspective-driven writing that feels human 
  4. PM support from 2A and Google that keeps the process delightfully uneventful 

If you want stories that feel like real humans talking about real wins, this is how we get there. 

Let’s make your next customer story feel more human →