Every 1:1 is a chance to catch what’s really going on

HeyPenny turns check-in conversations into real oversight, safer data, and stronger retention. Built for leaders managing distributed, shift-based, and high-pressure teams.

Organisations that trust us

Capital & Coast District Health Board

Case Study:
Capital & Coast
Department of
Anaesthesia

12 Executive Leaders | 5-month pilot | 3× 1:1 check-ins

Twelve executive leaders went in sceptical that conversations alone could make a difference. Five months later, scheduling had gotten easier, conversations had gotten deeper, and department leads had a level of visibility into their senior team they'd never had before.

Read the full Case Study

The pre-emptive nature is great. Fence at the top rather than ambulance at the bottom
— CCDOA Senior Anaesthetist

Designed for you.
Built for real workplaces.

Scalable, real-time leadership coaching

In healthcare, most leaders are promoted for technical knowledge and ability. HeyPenny helps them build the people skills that come next.

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See every team, without being in every room

Each 1:1 recorded in the HeyPenny platform unearths employee insights, giving you a live view across every ward, department and site.

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Build the relationships that keep your people

McKinsey's 2025 Nursing Pulse Survey found strong nurse-manager relationships correlated with a 68% increase in frontline-nursing retention. Improve the relationships, improve retention.

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Kept apart from clinical systems by design

This is employee-manager conversation data only, fully isolated from clinical and patient records. Once insights are confirmed, the raw notes and transcript are deleted for good.

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Don’t take our word for it

Backed by a longitudinal research study that's already under way

Victoria University of Wellington, in partnership with HeyPenny, is running a national longitudinal study to confirm what we already see in the data and hear from customers: that 1:1 check-ins can predict and improve wellbeing, engagement, and performance. Preliminary results are expected October/November 2026, with final results due out early 2027.

See the research

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