I run partnerships for a mid-size DTC brand that stalled in community growth after an initial burst. We had creators but no systematic way to test or share what worked across RU and US audiences.
We tried building a small ‘learning hub’ inside our workflow: short weekly notes from creators, a public results log for experiments, and monthly cross-border reviews where creators and marketers shared 3-minute case studies. Two things happened:
- knowledge circulated faster (creators adopted each other’s formats), and
- we discovered easy wins to scale (a specific testimonial cut performed well in both markets).
The hub didn’t magically fix everything, but it turned ad-hoc wins into repeatable playbooks. The community also felt more ownership when their wins were highlighted.
Has anyone run a similar internal learning hub? What are the minimum rituals or artefacts (evidence, meeting rhythm, incentives) you’d recommend to keep it from becoming another ignored doc?
Rituals matter: a 30-minute monthly show-and-tell where one creator presents a short case and the team votes on whether to scale it. Public recognition keeps creators engaged.
Also create a simple intake form for new ideas so nothing gets lost and owners are clearly assigned.
Keep the hub tightly metricized. Each case should include at least three numbers: reach, engagement rate, and conversion impact. Without data, it becomes folklore.
Use a lightweight dashboard and update it weekly. Even simple visualizations help people spot trends and replicate wins.
Incentives helped us: small bonuses for creator ideas that get adopted and show measurable lift. It turned passive sharing into active experimentation.
Also limit the hub to one page per experiment. Long write-ups get ignored.
We also keep a ‘no’ list — ideas that looked promising but failed — to save others from repeating mistakes.
One organizational trick: rotate who runs the meeting. Different perspectives surface different lessons.
Also short testimonial clips from customers that performed well make it easier for creators to craft proof-led UGC.
Limit experiments in-flight. We cap active experiments to 6 at a time so the team isn’t spread too thin and results are clean.
Finally, tie the hub to a quarterly goal (reduce CAC by X or increase repeat rate by Y). A concrete goal keeps the hub output execution-focused.