Turning a Content Library Into a Growth Engine: A Headless Contentful Rebuild for Workhuman
Workhuman’s content is how the category leader in employee recognition gets found, researched and chosen — and 8,500 pieces of it sat across two platforms with no way to see what was earning its keep. We rebuilt the infrastructure so the same editorial work goes further: publish once, deploy everywhere, invest where it works.
The work
The Challenge: 8,500 Pieces of Content and No Read on What Grows the Business
Workhuman pioneered employee recognition more than 25 years ago and leads the category it created — over 8 million users across 150-plus countries, with customers like Cisco, Procter & Gamble and LinkedIn. A platform like that is bought after long research, and content is where the research happens: studies, thought leadership, product education, customer stories.
The operation producing that content ran on two platforms. WordPress held 1,500 news and blog posts and 3,500 supporting files; Uberflip held another 3,500 posts and resources — 8,500+ pieces with no shared taxonomy and no consolidated view of performance. Every channel meant a rebuild, every investment decision ran on stitched-together analytics, and the editorial spend behind a category leader’s demand engine could not go further than the channel it was made for.
The Strategy: A Headless Rebuild, Structured for Reuse and Measurement
Treat content as structured data rather than as pages, so the same work can be published everywhere and read in one place.
- Contentful, headless. Content decoupled from presentation, publishable to any channel and structured well enough that performance can be read coherently for the first time.
- Migration as pruning. 8,500+ pieces evaluated rather than transferred, so the new baseline was clean enough for measurement to mean something on day one.
- Enforcement moved into the model. Brand standards, metadata and reuse tracking became properties of the system instead of things editors had to remember.
The Outcomes: Content That Publishes Once and Works Everywhere
An editorial operation that had been managing content can now grow with it: the same piece deploys everywhere it belongs, updates propagate instantly instead of waiting on per-channel rebuilds, and the next dollar of editorial investment has evidence behind it.
- Growth | Publish once, deploy everywhere — reuse tracked per channel rather than rebuilt per channel | Time-to-publish down, because updates propagate instead of queueing
- Intelligence | Cross-channel performance readable in one place, where it had needed manual aggregation
The detail
Why it mattered
- Two systems, no source of truth. WordPress held 1,500 news and blog posts plus 3,500 supporting files. Uberflip held another 3,500 posts and resources. 8,500+ pieces in total, with no shared taxonomy and no consolidated way to see how any of it performed.
- Redundant editorial work. A piece made for one channel had to be rebuilt for another. The same idea appeared in several places with subtle variations the system could neither detect nor coordinate.
- Performance visible only in fragments. Two sets of analytics in two environments. Understanding what was working meant manual aggregation, time-shifted comparisons and a fair amount of guesswork, so optimization decisions ran on partial data at best.
- Brand consistency resting on memory. Different platforms meant different capabilities and different rendering, which left consistency depending on individual editors recalling guidelines rather than systems enforcing them. That works at small scale and breaks at this one.
- A structural mismatch underneath all of it. Content was being handled as pages and posts when it needed to be handled as structured, reusable, measurable data. The architecture set the ceiling on what the team could see and what they could do.
How it was built
- Structured models replaced freeform HTML. Content modeled as fields and controlled vocabularies rather than as documents. A structured model can enforce brand standards, track reuse, flag deviations before publication and produce consistent metadata on every piece — so editors keep their flexibility while the system does the enforcing automatically.
- A migration that was an editorial decision. Not everything deserved to move. Outdated resources were cut, duplicates consolidated, low performers archived. Most migrations move everything, because removal is harder politically than transfer — treating this one as an editorial call rather than a technical one is what made the measurement coherent from day one.
- Every editor capability reimagined, not removed. The common failure in a platform migration is taking away features editors relied on, which generates resistance and erodes trust. Each capability the old systems supported was rebuilt inside the structured model instead.
- An operational handoff, not a technical one. Content models, migration tooling, editorial workflows, governance documentation and team training. Workhuman could operate, publish and measure on day one rather than three months later once the team had worked the new system out.
What moved
- One system where there were two. Editorial and development work from a single source of truth, and updates deploy across channels instantly instead of being rebuilt per channel.
- Consistency became a property of the system. Brand standards are enforced by the model rather than by editors remembering them.
- Reuse became visible. Content created once is deployed across channels, with the system tracking how each piece performs in each place — which is the thing that was impossible before.
Headless CMS migration questions
When should a company move to a headless CMS?
When the content operation has outgrown page-based systems: pieces rebuilt per channel, brand consistency resting on editors’ memories and performance readable only by stitching together analytics from separate platforms. Workhuman hit all three at 8,500+ pieces across two systems — the signals that content needs to become structured, reusable, measurable data.
How do you migrate 8,500+ pieces of content?
As an editorial decision, not a transfer. Workhuman’s migration evaluated every piece: outdated resources retired, duplicates consolidated, low performers archived and the remainder moved into structured models with migration tooling built for the job. Pruning is what made the new baseline clean enough for measurement to mean something on day one.
How does structured content help marketing grow?
It makes the same editorial spend go further. A piece is created once and deployed across channels instead of rebuilt for each one, time-to-publish drops because updates propagate instantly, and cross-channel performance becomes readable in one place — so investment goes to the topics and formats that demonstrably work.
What results does a headless CMS migration deliver?
For the Workhuman rebuild by Pare & Co: one source of truth where there were two platforms, publish-once deployment across channels, brand standards enforced by the content model rather than by memory and cross-channel performance finally readable in one place. The engagement built the measurement capacity itself; the numbers it produces belong to Workhuman’s next chapter.
Client leadership
Doug Sisko
Doug Sisko’s specialty is growth and conversion strategy. He has led headless rebuilds for companies whose content is how they get found.