Use User Office Hours to Gather Adoption Feedback
Plan laboratory office hours that surface user questions without turning informal feedback into technical conclusions.
A lab manager schedules an hour with you and calls it office hours, but nobody has agreed on what happens inside that hour, so it turns into a dumping ground for every complaint about the platform since the pilot began. As a Customer Success Scientist, you sit in the room to hear how researchers actually use the workflow day to day, not to defend the software or patch bugs on the spot. Handled well, office hours show you the exact point where a bench scientist stops trusting a system. Handled poorly, they turn one frustrated comment into a conclusion nobody can support, and you walk out with noise instead of adoption feedback you can act on.
Why office hours go wrong
The format invites trouble because it feels informal. People show up expecting a casual conversation, so they say things they would never write in a support ticket, and that is exactly why the session has value. The trouble starts when nobody sets a scope. A researcher mentions the sample tracking screen is confusing, another agrees, and within minutes the room decides the interface is broken, even though only two people out of a dozen users spoke up. Nobody asked whether that screen gets used daily or once a month. Nobody checked whether the complaint is about the tool, the training, or a lab specific naming convention nobody explained to new hires.
The second failure mode is ownership. Office hours end, everyone feels heard, and then nothing happens because no one wrote down who owns the next step. Feedback without an owner dies quietly, and the next session starts from zero again. The third failure mode is scope creep into technical review. Some lab managers use the hour to relitigate a validated protocol or push a change that belongs in a formal change control process, not a feedback session. Your job is to keep the conversation inside the boundary of experience and adoption, and to route anything technical to the right owner.
How to prepare before you open the room
Before you schedule anything, talk with the lab manager about purpose. Ask directly whether the group needs help finding resources, understanding how to reach support, or naming a recurring handoff problem that keeps slowing people down. Those are three different sessions with three different invite lists, and mixing them produces a meeting that satisfies nobody.
Once you know the purpose, choose attendees on purpose too. Invite the users who touch the workflow directly, not just their supervisors, and ask a customer owner on the account to join so the lab sees a consistent team. Prepare a short list of open questions that do not assume a cause. Ask where people get stuck, not whether the system is confusing, because the second question invites agreement rather than detail. Set up a simple way to capture what you hear by topic while the conversation is live, so you are not reconstructing the session from memory an hour later.
It helps to rehearse this setup conversation before you have it for real. Biotechnology practice conversations let you run through the scoping call with an AI lab manager who pushes back the way a real one does, so you walk into the actual meeting with a plan instead of an improvisation.
What to say when the pressure is on
The hardest part of this conversation usually happens before the session even starts, in the planning call. A lab manager wants a quick fix and treats office hours as the venue for it.
Marcus opens with, "Our researchers keep saying the system is confusing. Can you just fix that in office hours."
You respond, "I cannot fix a workflow in an hour, but I can listen for the exact point where people lose confidence and turn that into a clear next step. Tell me who is running into this the most, and who on your side can help us read the local workflow correctly."
Marcus names two newer researchers who joined the platform last quarter and the operations coordinator who manages sample intake. You confirm the group, then explain how you will run the hour. "I will ask open questions and take notes by topic. If something needs a specialist, I will name that as a follow up owner rather than guessing at an answer in the room. Are you comfortable if I send you a factual recap afterward so you can correct anything I got wrong."
Marcus agrees. That one exchange sets the whole session up correctly. It names a real problem, sets expectations about what office hours can and cannot deliver, and gets agreement on who attends and how the output gets checked before anyone treats it as fact.
Mistakes to avoid
A few habits turn a useful session into a liability.
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Agreeing to a fix on the spot. Promising a change during the session, before you have talked to anyone on the product or technical side, sets an expectation you may not meet, and it damages trust worse than saying you need to check.
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Letting one voice define the room. A senior scientist with a strong opinion can dominate the hour. Ask directly for other perspectives so a single complaint does not become the story everyone repeats.
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Skipping the recap. If you do not send a written summary back to the lab for correction, the group's memory of the session drifts, and disagreements about what was actually said show up weeks later.
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Diagnosing a cause from one comment. If someone says a handoff between two teams is broken, resist naming the reason in the room. When that comment points to a real disagreement on sample handoff steps between two lab groups, treat it as its own conversation. Read Use a Mapping Workshop When Teams Disagree on a Sample Handoff for how to run that session once you know a mapping conversation is needed.
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Blurring feedback with observation. When office hours reveal that you need to watch someone work through the actual protocol, that is a different meeting with different consent and different boundaries. Set Boundaries for a Workflow Observation Follow Up covers how to set that up without surprising the lab.
How to practice and score the conversation
A manager can score this conversation on a short set of criteria instead of a gut feeling about how the session felt. Note whether you named the purpose of the hour before it started. Note whether you asked open questions instead of leading ones. Note whether you sorted feedback into categories, such as resource requests, support routing, workflow friction, and items you could not answer, instead of leaving it as one undifferentiated list. Note whether you avoided stating a cause you had not verified. Note whether you sent a factual recap and named an owner for each item that needed one.
You can rehearse the planning call and the session itself in DealSpeak before you run it with a real lab, which matters most for the moment a manager pushes you to promise a fix you cannot deliver yet. Practicing that specific pushback out loud, a few times, changes how steady you sound when it happens for real.
Office hours work when you treat them as a listening exercise with a clear boundary, not a technical review in disguise. Prepare the scope, name the owners, and send a recap the lab can correct. Do that consistently and the sessions build trust instead of spending it.
Practice these next
Gather concrete workflow feedback and let laboratory owners choose the next support action.
Help a customer update its support plan with current users, owners, and realistic review dates.
Capture customer choices, open questions, and owners so an adoption meeting produces useful follow-through.
Help a customer success scientist coordinate clear customer communication after an approved platform release.
Create a success plan the customer owns for a shared platform with different user groups and access rules.
Help a customer success scientist protect adoption when a laboratory’s primary platform contact moves on.