Beehind the Scenes with Psychologist Miki Skinner

At a glance

Practitioner: Miki Skinner, Psychologist
Location: Virginia (USA)
Practice type: Private practice
Years in practice: Over 15 years of experience in both university and private settings
Clinical focus: Adult mental health, assessment, and therapeutic interventions
Zanda features highlighted: Clinical notes, templates, BizzyAI: Scribe, BizzyAI: Refine
Time saved: Cut documentation time from approximately 15 minutes to about 5 minutes per session (roughly 66% reduction)
AI usage: Utilizes BizzyAI to draft and improve session notes while keeping clinical oversight.

“What used to take me 15 minutes now takes about five, and it’s still my work.”

When psychologist Miki Skinner moved into private practice, she wasn’t starting from scratch. With over a decade of experience in a university setting, she developed strong clinical foundations and a clear understanding of what high-quality documentation requires.

What changed when she moved into private practice was the structure around that work.

Building a workflow that can grow with her

In a university setting, documentation systems and time are built into the workflow. In private practice, they’re not. Practitioners must create and maintain these systems themselves. As Miki’s caseload grew, so did the risk: documentation could easily spill beyond the clinical day.

Previously, a standard session note took around 15 minutes. It was thorough and clinically sound, but across a full day of clients, that time added up quickly.

So she rebuilt her workflow for efficiency while maintaining the quality and integrity of her clinical work.

From 15 minutes to 5: Reducing documentation time without losing clinical quality

Today, Miki completes her notes in about five minutes per session, a 66% reduction.

After each session, she summarizes key points to BizzyAI: Scribe to generate a structured draft. She then reviews and refines the note to ensure it accurately reflects her clinical reasoning, tone, and standards. The difference isn’t just in speed, it’s timing.

Instead of batching notes later, documentation now happens closer to the session itself. Across a full caseload, that’s roughly 10 minutes saved per client, often returning more than an hour back into her day.

“What made the difference wasn’t just speed, it was being able to complete notes within the clinical day, without compromising quality.”

How this works in practice

For clinicians aiming to cut down on documentation time, Miki’s workflow focuses on using BizzyAI: Refine to enhance notes rather than rewriting them from scratch.

In practice, her workflow is simple and repeatable:

• Start with a draft: Capture important session points using your usual structure or template.
• Refine to the clinical standard: Use AI to elevate language, structure, tone and clarity
• Make targeted updates: Adjust specific sections without rewriting everything
• Set preferences once: Use AI settings to ensure consistency in format and terminology
• Adapt as needed: Tailor notes to each client or session

What makes this approach effective is that it aligns with how clinicians already work. Clinical thinking remains the same, but AI decreases the time and effort required to document it clearly.

From backlog to in-session completion

One of the biggest changes for Miki is what doesn’t happen anymore: the backlog.

Like many clinicians, Miki was used to notes piling up by the end of the day. Even when manageable, that lingering admin creates mental load.
With her current workflow, documentation feels more contained and predictable. Notes are drafted quickly, reviewed immediately, and finalized without needing to revisit the session later.

This allows her to move through her day with more clarity, knowing that each session is both clinically and administratively complete before moving on to the next.

Supporting clinical thinking, not replacing it

For Miki, using AI in documentation isn’t about stepping away from the process. It’s about reducing the manual effort required to capture what she already understood clinically.

Starting with a structured draft keeps her actively engaged in the note while reducing the effort required to get there. This method keeps clinical judgment at the core while improving consistency, especially on busy days when structure and clarity are hard to maintain.

A system that supports sustainability in practice

As her practice continues to grow, the importance of having sustainable systems has become even clearer.

Documentation is a constant in clinical work. It doesn’t decrease as a practice becomes busier – it scales with it. Without the right systems, it’s often one of the first areas to extend beyond working hours. By reducing the time needed for each note and bringing that work closer to the session itself, Miki has created a workflow that supports both her clinical standards and her long-term sustainability.

This allows her to protect her time and energy, ensuring her focus stays on clients rather than the work waiting afterward.

Practical takeaways for clinicians

Miki’s approach reflects a broader shift toward smarter documentation workflows that still maintain clinical integrity.

A few principles stand out:

• Capture information while it’s fresh
  Completing notes closer to the session reduces both time and cognitive load.
• Separate drafting from refining
  Using AI to create a first draft eliminates the blank page, while refinement makes sure the note still captures your clinical thinking.
• Use templates to create consistency
  Structured formats ensure quality throughout a full caseload, especially on busier days.
• Focus on reducing friction, not removing responsibility
  AI can reduce the effort required for documentation, but clinical oversight remains crucial.
• Design workflows that scale with your caseload
  Small time savings per session accumulate rapidly as a practice expands.

Creating space for what matters most

For Miki, the outcome isn’t just faster notes. It’s a more contained, sustainable way of working.

By cutting documentation time from 15 minutes to 5, she brought administrative tasks back into the clinical day rather than letting them extend beyond it. That change not only affects her schedule, it also shifts how the work feels.

There’s more space to stay present with clients, more clarity at the end of the day, and less of the quiet pressure that builds when documentation starts to carry over.

For clinicians starting their own practice—or considering that step—her advice is straightforward: prioritize building early systems that support your preferred way of working.

Having tools for documentation, templates, and note refinement meant Miki didn’t need to rebuild her processes while her caseload increased.
A significant contributor has been using BizzyAI: Refine consistently across every note. Because it’s integrated into her workflow, she can quickly adjust and finalize documentation without having to start from scratch each time. As Miki puts it,

“If you’re starting your own practice, I’d recommend putting your systems in place early. It makes a big difference not just in saving time, but in how sustainable the work feels as you grow. Having that support and knowing you’re not figuring everything out on your own was a big part of that for me.”

Zanda integrates clinical notes, client management, and AI-powered tools like BizzyAI into a unified system, helping practitioners lessen administrative tasks while upholding high standards of care.