Identifying which agile methods and processes are most effective depends on the goals and aims of an organisation. Agile development promotes an environment of continuous improvement and trust within self-organising teams. Therefore, it is important to allow teams to have the flexibility to customize and tailor their chosen methods. However, in a large-scale agile deployment, there needs to be a degree of process standardization across the organisation; otherwise, different teams will not be able to effectively share knowledge and best practices. This paper addresses this classic CSCW issue of the tensions that arise between process standardization and flexibility in a large-scale agile deployment at the BBC. CCS Concepts: • Human-centered computing~Empirical studies in collaborative and social computing • Software and its engineering~Software creation and management

There is an increasing demand from healthcare providers for timely and accurate information about patients' conditions, to support appropriate decision making about their needs. Often, healthcare providers have limited data access due to complex issues surrounding sharing agreements and data recording and storage. Designing data-supported decision making (DSDM) tools in this environment is challenging, as they often fail to fully integrate into practice. Existing work focuses on implementing tools such as dashboards and smartphone apps to support decision making practices. However, these tools often operate independently from main systems, and there is limited HCI research on the challenges of designing and integrating such tools into long-term health-care delivery. We describe our participatory design research with clinical and service management staff on a respiratory care ward. We use the process of designing a DSDM dashboard to explore larger challenges behind designing DSDM tools for healthcare providers. CCS CONCEPTS • Human-centered computing → Human computer interaction (HCI); Interaction design process and methods; User centered design, Participatory design

Chronic respiratory conditions (CRCs) are life-long diseases affecting millions of people worldwide. They have a huge impact on individuals' everyday lives, resulting in a number of physical and emotional challenges. Self-management interventions for CRCs are thought to provide empowerment and improve quality of life. However, despite the number of people living with CRCs, most self-management tools in previous HCI work have been designed without the insight of those affected by the conditions. In this paper, we contribute to the literature by investigating the experiences and everyday challenges faced by those with CRCs, through the involvement of 156 participants via interviews and an anonymous survey. Our findings reveal the self-care challenges of CRCs and the reactive management approaches taken by participants. We conclude by providing a set of design implications that support the design of future self-management tools for CRCs. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Interaction design process and methods; User centered design

There is an increasing interest in CSCW to understand how technology can be used for the monitoring of chronic conditions, and how collaboration for care planning can occur between clinicians and patients through its use. Many studies in this area have focussed on the patients' experience of using such technology. We report findings from a small-scale study, where a smartphone app for monitoring Chronic Obstructive Pulmonary Disease symptoms was introduced into a community care respiratory service for patients' use. Our findings provide three key insights into the clinicians' experiences in receiving the patient reported data and supporting the patients' use of the app as part of their service.

unforeseeable scenarios despite meticulous planning, which is why it is important to share our experiences with one another. In this article, we reflect on lessons learned through our own experience of conducting more than 20 technology deployments in participants' homes within the past two years. We shed light on challenges that we have encountered, offering solutions where applicable to enable researchers who are planning to deploy technology in participants' homes. It has been 10 years since Interactions touched on this topic [1], and the digital home has changed a lot since then. For example, Understanding how people interact with technology in their homes has long been a topic of interest for researchers. Across HCI, researchers in digital health, sustainability, education, family, and privacy are fascinated by the human routines and everyday interactions that involve technology. As these researchers have found, deploying technology (e.g., technology that monitors devices or user behavior) in the homes of participants involves both careful planning and nimble adaptivity-from securing ethical approvals, to recruiting participants, to finally setting up in their homes. Researchers in this space may face U Insights → Deploying research technology in the home raises tricky and unexpected scenarios. Plan for parking, transportation, poor phone signal, allergic reactions, your safety, dodgy data, and additional stress. → If you are disrupting participants' technology, furniture, or household relationships with your deployment, collaborate with the household to mitigate any risks.