  As the Internet of Things continues to take hold in the commercial world, the
teams designing these new technologies are constantly evolving and turning
their hand to uncharted territory. This is especially key within the field of
secondary service design as businesses attempt to utilize and find value in the
sensor data being produced by connected products. This paper discusses the ways
in which a commercial design team use smart thermostat data to prototype an
advice-giving chatbot. The team collaborate to produce a chat sequence through
careful ordering of data & reasoning about customer reactions. The paper
contributes important insights into design methods being used in practice
within the under researched areas of chatbot prototyping and secondary service
design.
