We start by understanding your task, business context, and expectations. Then we gather data, find growth opportunities and root causes of issues if any, prepare a clear action plan, and help drive changes to results.
The process can vary depending on the task, but the logic is always the same: align on goals, understand the situation, set priorities, prepare a plan, and verify results.
We start with a conversation about the task: what needs to improve, why it matters now, what constraints exist, who is involved on the team, and how we will measure the result. This helps us move in one direction without guessing.
Before proposing solutions, we look at what is happening now. Depending on the task, this can include analytics data, performance data, GSC, crawl snapshots, logs, reports, dashboards, technical checks, or internal team processes.
We do not stop at symptoms. It matters to understand why a problem appears: in data, site speed, indexation, automation, tracking, integrations, processes, or technical implementation. After that, we decide what should happen first.
We package the outcome so the team can work with it easily. This can include Jira/Linear tasks, technical requirements, recommendations, QA scenarios, rules for future releases, or documentation for repeatable processes.
After handing over the plan, we can support the team during implementation: answer questions, clarify edge cases, review delivery, look at metrics after changes, and set up monitoring where needed.
We'll take the time to understand your context, evaluate your existing data and workflows, identify the most valuable opportunities, and recommend an engagement model tailored to your team's objectives.