Case study · Hybrid IVR + AI · 5 min read

Menu or conversation? We asked clinics, then let their patients decide.

We set out to replace the clinic phone menu with open speech. Clinic teams told us that would leave some of their patients behind. This is how we changed the product, and how callers split when they were given both options.

ReportSkrypt Journal of Clinic Operations
AuthorsSkrypt Health product team
Toronto, ON
SettingSkrypt partner clinics
Dental, medical & veterinary · names withheld
InterventionHybrid greeting: keypad menu
and open speech, one AI behind both
DataSkrypt production call records
First input at the greeting
KeywordsIVR · voice AI · patient preference · customer-led product design
52%of callers chose to speak
48%chose to press a key
Both paths, one AI.answering, booking and hand-off work the same either way
§ 01 · Abstract

A patient calls to move a cleaning. She has called this clinic for years. She knows appointments is 1, so she presses 1 before the greeting finishes. The next caller has never phoned before, has a question that fits no menu option, and just wants to explain it.

Skrypt's first plan served only the second caller. We pitched open speech as a replacement for the clinic IVR. Clinic teams pushed back: plenty of their patients like the menu. So we kept it, added open speech next to it, and put the same AI behind both. Given the choice, 52% of callers spoke and 48% pressed a key.

The takeaway is simple: neither group is an edge case. If we had shipped our first idea, it would have failed almost half of callers.

§ 02 · Background

How the feature came about: we listened, and changed course.

STEP 1 · WHAT WE PITCHEDDrop the menu. Let callers just talk.

Every clinic we met already had an IVR. We saw it as the thing standing between the patient and a real answer, so we planned to remove it.

STEP 2 · WHAT CLINICS TOLD USSome patients want to press 1 and be done.

Front-desk teams answer these calls every day. More than one of them told us that regular patients rely on the menu because it is fast and predictable.

STEP 3 · WHAT WE SHIPPEDKeep the menu. Add speech beside it.

A hybrid greeting: callers press a number or just speak. The same AI answers, books and hands off, whichever way they start.

§ 03 · Methodology
What we measured

The caller's first input after the hybrid greeting. If the first input was speech, the call counts as spoke. If it was a keypress, it counts as keypad.

What counts as a call

Inbound patient calls from Skrypt's production records at clinics running the hybrid greeting. We removed test calls, duplicate records, and calls that ended before any input.

What we did not change

Both paths lead to the same AI, with the same booking rules and the same hand-off to staff. Callers were not nudged toward either option; the greeting offers both in one sentence.

Clinic identity

Clinic names are withheld. Results are reported as a single split across all participating clinics.

§ 04 · Results

4.1  The split: almost exactly half and half.

Given the choice at the greeting, 52% of callers started by speaking and 48% started by pressing a key. Neither option was a fallback. Each was the first choice for roughly one caller in two.

Figure 1 · First input at the hybrid greeting
52%spoke
48%pressed a key
Share of calls by first input. Calls that ended before any input are excluded (see § 03).

4.2  Two ways in, one way through.

The caller picks how to start. After that, the experience is the same: the AI understands the request, books directly into the clinic's schedule, and passes anything it shouldn't handle to a person on the team.

Figure 2 · The hybrid call path
Greeting“Press a number, or just tell me what you need.”
→
Press 1–3the menu they know
Just speakin their own words
→
Same AIAnswers · books into the schedule · hands off to staff
Table 1 · Who each path serves
PathShareWhat the caller doesWhy clinics said it matters
Speech52%Explains the request in their own wordsNew patients and unusual questions that fit no menu option
Keypad48%Presses the option they already knowRegular patients who want the fastest, most predictable route
§ 05 · Discussion

It is easy for a voice-AI company to treat the phone menu as the problem. We did. The people who corrected us were the ones closest to the calls: front-desk teams who hear every day which patients press 1 and which ones want to talk. A near-even split means both groups are large. A product built for only one of them would have made the other group's calls slower or more frustrating, and the clinic would have heard about it first.

That is the lesson we are taking into the rest of the product. Skrypt is built in clinics, with clinic teams, and the best changes often start as a correction.

” “Some of our patients like to explain. Others just want to press 1 and be done. Don't make them choose your way.”
What we heard from clinic teamsParaphrased from partner feedback
§ 06 · Limitations
  • 01Pooled across clinics. The split is one figure across all participating clinics. Individual clinics, patient mixes and regions will differ.
  • 02Preference, not outcome. This study reports which path callers chose. It does not compare booking or resolution rates between the two paths.
§ 07 · Conclusion

Keep your menu. Let patients talk too.

Skrypt works with the phone menu your patients already know. Callers press a number or just speak, and the same AI answers, books into your schedule, and hands off to your team when it should.