Closing the loop on patient care

Tele-health  |  Eucalyptus  |  2025

Juniper side effect support flow on mobile

Juniper is Eucalyptus’ digital weight management clinic, treating obesity as a chronic condition through GLP-1 medications paired with coaching, clinician support, and ongoing care. Like any medication, GLP-1s come with side effects — nausea, fatigue, and GI symptoms among the most common — and how patients navigate those early weeks often determines whether they stay on treatment long enough to see results.

Internal data showed that 15–20% of cancellations were driven by side effect experiences and unmet support needs, with patients citing reasons like “I’m experiencing side effects” or “I didn’t get the support I needed.” Improving how patients log and act on side effects became a clear opportunity to reduce churn and strengthen the care loop between patient and clinician.

What are some of the things that are contributing to 15–20% of users churning?

New structure, new mental model

Parallel to the redesign of the side effect check-in flow itself, the Product team was restructuring the entire app IA. The existing IA and experience demonstrates:

  • Lack of intuition and mental model for users to discover support features naturally.
  • Support action is split under sections that indicate otherwise — like Progress and Chat — which is not intuitive at first glance.

The new mental model presents a new structure which includes the removal of Chat and the addition of Care — the new home for support. With clearer naming conventions, this enabled the many support actions to sit under one roof that is intuitive to find.

Re-writing how the system decides

This blueprint maps the redesigned service in two sections:

  • The User Journey — what the patient does.
  • The System Logic — logic rules that trigger system operations underneath.

The new IA structure not only enables new check-in entry points (Home or Care) but it also supports the new check-in cadence changing from fortnightly to weekly. Once a patient logs their side effect and severity levels, the system decides what should happen rather than routing every report to a human. Together with the clinical team, severity routing logic was re-examined. Mild or Moderate logs lead to self-help tips and Severe routes to medical support.

However, severity alone doesn’t determine when human support is required — log frequency matters too. If the same side effect is logged twice or several times in a week, this can escalate a case even when no report is severe. These thresholds, set with doctors and coaches, gave the clinical team confidence that they could respond to every escalated case within the 24-hour window promised to patients. The new logic had to reflect not just clinical risk but also what the team could realistically act on.

Refreshed user experience

The redesigned flow gets a patient from “I’m having a side effect” to useful guidance in two questions: what they’re experiencing, and how severe it is. Where the old check-in buried side effects behind weight and motivation questions, support is now its own flow — available any time from Care, so a patient can self-serve or reach a human whenever a side effect actually happens.

The key decision was what happens after those two questions. Rather than sending every report to a human, the flow forks on severity:

  • Mild and moderate side effects resolve immediately into self-serve tips — practical, side-effect-specific guidance the patient can act on straight away. These cases don’t need to wait for a coach or clinician; making them wait was part of the old problem.
  • Severe side effects route to the medical support team, with the patient told clearly that they’ll be contacted within 24 hours, plus the same tips as interim guidance.

Mild and moderate patients still get a route to a human, via a tertiary “Contact medical support” link. This was a deliberate V1 trade-off: customer support still runs on Zendesk, and rebuilding that whole intake was out of scope for this release. The goal here was narrower — make it easier for patients to log a side effect, and measure whether a shorter, self-serve-first flow works — so preserving the existing Zendesk path as a secondary option let us ship the core improvement without rebuilding support end-to-end.

One log, three homes

A logged side effect needs to be legible to three roles who each act on it differently — Doctors, Medical Support and Health Coaches. The side-effect log history surfaces natively inside each team’s existing workspace, available for the tasks they perform day to day.

Doctor’s platform

Doctors review a patient’s profile before and during consultations. The side-effect history sits in the left-hand record alongside the patient’s medical and treatment history — so when a doctor is weighing a dose change, the patient’s recent side effects are already in view, not in a separate tool.

Medical support

When a patient asks to speak to medical support, the team can see every logged side effect in one list — letting them read the pattern and timeline before they decide whether to escalate. The full history in a single view is what makes triage possible: they’re acting on the trajectory, not a single report.

Health coach

Coaches give dietary and nutrition guidance, which means side effects only make sense alongside other signals. Surfacing the logs inside the Insights tab puts them next to appetite, step count and weight — so a coach can read nausea against a drop in appetite in one scroll, rather than piecing it together across tabs.

Outcomes

The existing churn rate sat at 15–20% because patients were experiencing side effects and couldn’t find support when needed during the start or dosage-increase stages of their treatment journey. Removing the need for patients to context-switch in the flow was the first step in reducing cognitive load.

The logging pattern was redesigned from single-input to multiselect, so the flow was ready to accommodate multiple problem types before the business launched them. To further strengthen the value of support in the flow, tailored self-help tips were shared at the end of each log regardless of severity levels, at any time of the day. This not only gave patients the support they needed in real time, but also allowed the clinical team to respond to urgent cases that needed human intervention in the 24-hour window as promised.

The redesign of information architecture in the mobile app resulted in a huge uptake in discovery rates. Discovery of the side effect check-in flow increased by 7.5× — from around 95 views a day before redesign to 715 views post-implementation. Additionally, the new support path tracked 300 views per day, showing support engagement that didn’t exist before.

The results of this project reaffirm the importance of assessing the needs of every actor in any journey to build a robust system that the business can grow from.