Prioritize Research Adoption Issues With the Laboratory’s Own Criteria

Research customers can have several open concerns at once: a support question, new users, a documentation review, and an upcoming internal meeting. A customer success scientist can help organize those concerns without deciding which research objective matters most. Ask the customer to explain the practical impact and owner for each issue.

At a fictional institute, Colin, a program manager, says, “Everything feels urgent.” The scientist responds, “Let’s list the issues and identify what happens if each waits a week.” Colin says a support case affects a scheduled run, questions from new users affect next month’s intake, and a local document review belongs with quality. The team can now see that each issue has a different route.

Use a simple review table with issue, customer impact, evidence available, accountable owner, and next date. Technical case details stay with support. Local document decisions stay with the laboratory’s control process. The customer chooses priorities based on its own work. The customer success scientist coordinates the support plan and makes sure no issue disappears between teams.

Practice summarizing without ranking for the customer: “You have named one immediate run dependency, one future onboarding concern, and one local review. Which owner should we contact first?” Send the table after the conversation and ask the customer to confirm the sequence. The resulting plan gives every issue a visible path.