The setting
makes software for watching how computer systems are running. is its hosted platform for collecting, searching, displaying and alerting on metrics, logs, traces and profiles, so customers do not run their own tools.
Workshop registrations are rising while the intended buyers are staying outside the meeting flow.
A full event protects attendance, while qualified platform engineering conversations protect pipeline quality.
Who you’d be doing this for
“My SREs forwarded the invite, but I still couldn’t tell what changes for our platform team.”
Akosua Okafor · Platform Engineering Manager · a character in this brief
Leads a cloud-native platform team and is accountable for reducing the operational overhead of the observability stack.
What is at stake
Workshop registrations are high, but few platform engineering leaders request meetings. You must weigh attendance volume against a message and audience built for qualified evaluation conversations.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- registration volume vs qualified buyer intent
- technical accuracy vs sharper messaging
- fast send date vs validated audience logic
- sales follow-up capacity vs campaign self-qualification
Why Grafana
Grafana Cloud workshops must translate technical interest from SRE and platform teams into credible managed-observability evaluations.
Written with these in mind
Not your kind of problem? 28 more at Grafana, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Grafana. They are listed as sources, not as openings.
- Senior Product Marketing Manager | Spain | Remote (opens in a new tab)
- Principal Technical Marketing Engineer | US | Remote (opens in a new tab)
- Principal Technical Marketing Engineer | Ireland | Remote (opens in a new tab)
- Senior Product Marketing Manager | Germany | Remote (opens in a new tab)
- Principal Technical Marketing Engineer | UK | Remote (opens in a new tab)
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these is about people starting something and never quite finishing it.
Attendance fell from 58% to 31% after the confirmation path changed.
You must weigh recovering engaged registrants against buying more top-of-funnel reach.
CIOs open the sequence but qualified replies must reach 4.5% in 14 days.
You must choose whether the next message leads with governed execution, shared context, or a sharper persona split.
Operations visitors convert at 2.8% after arriving through LinkedIn.
You must weigh an AI-led hook against a clearer delivery-visibility story that earns a qualified demo request.
The same setting, from another role
Each is set around Grafana’s Grafana Cloud, written for a different role. They’re separate briefs, not the same scenario.
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You must decide where the system's evidence assembly for a suggested severity ends and the on-call engineer's own reading of the tenant's Mimir, Loki and Tempo signals begins.
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You have to decide where the trace across Prometheus, Loki, Tempo and Kubernetes hands over to the on-call engineer who names the cause and ships the fix.
Other problems with a similar purpose
In each of these, as in this one, the aim is to turn ambiguous signs of buyer interest into a concrete, measurable step toward commitment.
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Enrolled brands are stalling before their first Insider Partnership action.
You must choose which brands need tailored coaching and which need a clearer scaled path.
New users are arriving from AI-assistant questions, but their path is hidden inside generic referral traffic.
You have to weigh a focused eight-week test against a broader discovery bet with less interpretable learning.