How Draftly shipped content twice as fast by eliminating bottlenecks in their production workflow
Draftly's content team had no shortage of ideas. What they had a shortage of was time — most of it lost to approvals, handoffs, and chasing people for feedback.
2x
faster publishing
60%
fewer bottlenecks
12hrs
saved weekly
Great content was sitting in limbo
Draftly's internal marketing team runs on content. Blog posts, case studies, social campaigns, email sequences — the output is constant. But so was the backlog. Pieces were getting written on time and then sitting in review queues for days. Approvals required chasing. Feedback came back in the wrong channels. Published dates kept slipping.
"We had a production problem disguised as a capacity problem. We didn't need more writers — we needed a better system." — Tom Whitfield, CEO, Draftly
Where content went to wait
Stage | Handoff method | Avg delay |
|---|---|---|
Draft complete → review | Slack message | 1.5 days |
Review complete → edits | Email thread | 2 days |
Edits complete → approval | Slack message | 1 day |
Approved → published | Manual upload | 4 hours |
Published → distributed | Manual emails | 3 hours |
At every stage, content was waiting on a human to pass it along. The writing was the fast part. Everything around it was the bottleneck.
What they built with Violet
Draftly mapped their entire content production process and automated every handoff. The moment a piece moves from one stage to the next in their project management tool, Violet handles everything that comes after.
A matching workflow handles the approved → publish → distribute sequence, automatically uploading to their CMS and triggering distribution emails the moment a piece is approved.
The results after 60 days
Metric | Before Violet | After Violet |
|---|---|---|
Avg time from draft to publish | 11 days | 5 days |
Pieces published per month | 14 | 26 |
Missed publish dates | 40% of pieces | <5% |
Weekly coordination hours | 12 hours | <1 hour |
"We doubled output without adding a single person. The work was always there — it was just stuck in the system. Violet unstuck it." — Tom Whitfield, CEO, Draftly
What they automated next
After content production, Draftly automated their social distribution workflow — automatically scheduling posts across LinkedIn, Twitter, and their newsletter the moment a piece is published, using metadata from the content brief to generate platform-specific copy.
What's next for Draftly
Draftly is currently building a content performance workflow that pulls engagement data one week after publish and automatically routes high-performing pieces to their repurposing queue for the social and email team.
"Our team used to talk about their backlog constantly. Now they talk about what they're working on next. That's a completely different energy." — Tom Whitfield, CEO, Draftly
Draftly
A content creation platform helping marketing teams produce, review, and publish content at scale.
Details
Industry
Content & Marketing Tech
Company size
31 employees
Founded
2021
Region
North America
Use case
Content workflows