How can you ensure Quality Assurance is involved in post-release monitoring?

QA must be aligned with the fact that the responsibility of QA never ends with product release. Following are some of the points where QA’ input and approvals are required even after product release - -If any non-conformance observed post release, there should be set procedures to recall the product. -If there are any OOS/ OOT observed in stability testing, its impact on batch needs to be evaluated. -The market complaints are typically spearheaded by the QA team. -QA needs to oversee Packaging, Dispatch, transportation of the released product is as per product stability and specifications. - Control on the sample holding / shelf life monitoring.

Its always important to have Quality in any domain, since that's the face-value for any business we do. The ROI is all about the quality of work delivered. Post verification to be done before the project is delivered. Make sure that the requirement is fulfilled as per the client's request since in the end we all are thriving to give the best. Monitoring the work done if required do an ATA (Audit the Auditor) which again gives a boost towards quality of work.

To ensure Quality Assurance is involved in post-release monitoring, establish dedicated QA teams or individuals responsible for ongoing testing and bug tracking, conduct regular user feedback surveys, employ automated testing tools, and implement continuous integration/continuous deployment (CI/CD) pipelines with automated testing and monitoring modules.

?Qué tal cambiando los conceptos de 'control de calidad' y 'supervisión'? Las palabras hacen al hecho, y viceversa. 'Controlar' siempre tiene un matiz peyorativo, y si a?ado 'Calidad' pienso que lo tienen que hacer otros (yo fabrico). 'Supervisar' induce a pensar en desconfianza en mi trabajo. El concepto es 'aseguramiento'. De parámetros, de proceso, de producto ... cada uno en su parte. Así es más fácil 'involucrar'. Otra opción lleva a 'imponer'.

Start with "why": Briefly explain why pre-launch goal and metric definition matters for effective post-release QA involvement. Focus on user impact: Highlight how metrics tie to user experience and business goals, not just technical aspects. Show collaboration: Mention involving cross-functional teams (developers, product managers) in defining relevant metrics for a holistic view. Go beyond availability: Briefly mention other crucial metrics like error rates, user onboarding success, or feature adoption alongside basic availability and performance. Example: Before the launch, QA teams collaborate with stakeholders to define user-centric monitoring goals & metrics aligned with business objectives.

Establish robust communication channels with engineering and stakeholders for seamless collaboration. Define reporting protocols, prioritize issue handling and implement effective change management. Foster a culture of collaboration and knowledge sharing within QA and engineering teams. Actively seek user and customer feedback for continuous improvement.

Utilize collaboration tools like Slack or Microsoft Teams for real-time communication among QA, development, and operations teams. Implement incident response platforms like PagerDuty or Opsgenie to streamline alert notifications and responses. For instance, set up automated alerts to notify QA of any performance anomalies. Establish regular post-release review meetings using video conferencing tools such as Zoom. These communication channels and feedback loops ensure a cohesive approach, allowing QA to promptly address issues, contribute insights and actively participate in the continuous improvement of post-release monitoring processes.

Organization must have established the recall procedures to trace and recall the market distributed products in case of any defect identified in-house post release. Such type of incidents shall be categorized (minor, major or critical) basis the risk of defect. There must also a procedure to inform the regulatory and customer in case required (basis the categorization). Organization must establish a procedure to get feedback from customer to understand the expectation directly from end users

Monitor various feedback channels such as surveys, reviews, support tickets, and social media to collect and analyze data on how the product is performing and what issues are reported

Ensure Quality Assurance (QA) is involved in post-release monitoring by setting up a structured feedback loop to gather user comments and issues. Implement continuous integration and deployment systems to facilitate quick responses to any problems. Use automated monitoring tools to track performance and stability in real-time. QA should analyze this data to identify trends and areas for improvement, ensuring that updates and patches meet the same rigorous standards as the initial release.

To integrate QA into post-release activities, foster open communication between development and QA teams. Create structured post-release testing procedures, actively gather user feedback, and hold regular retrospective meetings for continuous improvement. Emphasize collaboration during incident response and engage QA in the analysis and resolution of post-release issues.

Continuously monitor and proactively engage Quality Assurance in post-release monitoring. Utilize APM tools like AppDynamics or Dynatrace for real-time application performance insights. Implement synthetic monitoring with tools like Pingdom or Uptrends to simulate user interactions. For example, set up automated checks to monitor critical user flows and performance thresholds. Utilize anomaly detection algorithms in observability platforms like Splunk or ELK Stack for early issue identification. By integrating these tools and approaches, QA actively contributes to post-release monitoring, ensuring a resilient and high-performing application while promptly addressing any deviations from the expected quality standards.

The monitoring function of the QA is so important especially when we are talking about healthcare services. the patient feedback about our service is crucial for making needed changes in our process to get his satisfaction.

Ensure Quality Assurance involvement in post-release monitoring by establishing continuous and proactive monitoring processes. Prioritize patient safety as the paramount objective, aligning monitoring strategies with healthcare safety standards. Implement real-time monitoring tools and automated alerts to promptly identify issues. Foster collaboration between Quality Assurance and healthcare teams for rapid response. Regularly assess system performance, adherence to quality standards, and user feedback. By emphasizing continuous and proactive monitoring, Quality Assurance remains integral in post-release activities, contributing to ongoing enhancements in patient safety and overall healthcare safety within the Quality Management framework.

Post-release monitoring should be an ongoing, proactive endeavor rather than a one-time task. Regular and consistent monitoring enables the identification of trends, patterns, and anomalies in your software's performance. Anticipate potential issues and risks, taking preventive actions to avoid or mitigate them. Consider implementing various testing strategies, such as load testing, security testing,

A qualidade deve ser padronizada, pois já dizia Taichii Ohno " Sem padr?o n?o pode haver melhoria" ent?o para que se possa melhorar a qualidade precisamos criar padr?es e monitora los. Tendo em m?os o acompanhamento destes padr?es, poderemos criar análises que resultaram em a??es para melhoria e garantia de qualidade. Para isso o software adequado auxiliará para trazer a análise mais assertiva. Assim teremos atua??o adequada para garantir que os processos estar?o organizados de forma a entregar aquilo que foi planejado.

Dentro do ciclo de pós lan?amento de um sistema é relevante que seja monitorada a aderência dos itens disponíveis dentro do sistema e o atendimento à expectativa do cliente considerando eficácia e eficiência do processo. A implanta??o de uma sistemática onde seja possível o recebimento e leitura humanizada do retorno do cliente e essas informa??es transformadas em banco de dados, melhore o nível de monitoramento como fonte de abastecimento para: Padroniza??o frente ao sucesso ou estudo e propostas de melhoria para casos n?o satisfatórios. O acesso do cliente para o reporte deve ser dinamico. é importante que o ciclo seja contínuo, o resultado desta transforma??o de informa??o, será a customiza??o do processo para o cliente.

Analyze and enhance quality by involving Quality Assurance in post-release monitoring. Utilize tools like Loggly or Sumo Logic for in-depth log analysis to identify root causes of issues. Implement automated test analysis tools, such as Tricentis or Sauce Labs, to assess test coverage and performance. For example, conduct retrospective reviews with incident post-mortems using collaborative platforms like Jira or GitHub. Leverage insights from monitoring tools to inform test strategy adjustments. This iterative approach ensures QA actively participates in continuous improvement, refining test cases, and enhancing overall software quality in the dynamic post-release environment.

Ensure Quality Assurance involvement in post-release monitoring by emphasizing continuous analysis and improvement of quality. Prioritize patient safety as the primary focus, aligning monitoring efforts with healthcare safety standards. Regularly analyze data related to adverse events, system performance, and user feedback. Implement corrective and preventive actions based on findings. Foster collaboration with healthcare teams to address identified issues promptly. Utilize incident reports, audits, and performance metrics for ongoing quality enhancement. By promoting a culture of analysis and improvement, QA remains a vital component in post-release monitoring, contributing to sustained healthcare safety within the QM framework.

To involve Quality Assurance (QA) in post-release monitoring, leverage data for continuous analysis and quality improvement. Evaluate how well the software aligns with quality criteria and user needs, identifying improvement areas. Validate assumptions and decisions using monitoring data, learning from both successes and failures. Track and measure the impact of changes, verifying if they achieve desired outcomes. This analytical approach ensures QA actively contributes to enhancing software quality post-release, fostering a culture of continuous improvement and informed decision-making.

Buenos dias Mi opinion personal ,es que para que la cosa salga bien tiene que desarrollarse de su creacion bien,osea ,retroalimentos si usted Dios le dios la oportunidad de hace algo en las vidas que vaya a involucrar voy generalizar a todos los seres vivos de una forma o otra ,se tiene que hacer bien ,sin que traiga consecuencias ,futura ,aclaro no somos perfecto ,porque somos seres humanos ,carnar en las tierras ,que pasamos por diferentes etapa en la vida , excusemen que haga por enfazi ,en los mismos es por es necesarios para que no se le olvides ,los primeros es la ni?ez ,cuando Dios,pone la iniciativa de mandarnos al mundo a cumplir una mision ,todos ,tenemos nuestra mision ,pero ,,los obstaculo no impide llegar ,si no lo afrontamos.

Utilize collaboration platforms like Slack or Microsoft Teams to share real-time performance dashboards. Implement integrations with communication tools for automated result notifications. For example, set up a channel to showcase positive performance metrics or successful issue resolutions. Use data visualization tools like Tableau or Power BI for comprehensive reporting. Celebrate achievements in regular sprint reviews, acknowledging the QA team's contributions. By creating a culture of sharing and recognition, QA is motivated to actively participate in post-release monitoring, ensuring the continuous success and improvement of the software development lifecycle.

Incorporate a positive aspect into post-release monitoring by not only addressing issues but also celebrating achievements. Share and celebrate monitoring results with the engineering team and stakeholders, recognizing the contributions of QA and engineering team members. Use these results to showcase the value and benefits of QA, fostering a culture of quality within your organization. This positive reinforcement contributes to team morale and reinforces the importance of continuous improvement in software quality.

Establish a culture of transparency and collaboration by sharing post-release monitoring results with all relevant teams. Use AI to generate automated reports and dashboards that highlight improvements, achievements, and areas for further enhancement. Celebrate successes to motivate teams and reinforce a commitment to quality.

Shift focus to impact: Instead of just celebrating results, emphasize highlighting the impact of QA-driven improvements on user experience & business goals. Beyond internal praise: Briefly mention showcasing QA's achievements & value to external stakeholders (clients, investors) for broader recognition. Learning and growth: Tie successes to knowledge sharing & continuous learning, encouraging team members to build on their expertise. Culture of accountability: Mention using results to improve processes&address lingering challenges. Example: Beyond fixing bugs, celebrate QA's impact on user success and business goals. Share wins with stakeholders –cultivating a thriving culture of quality within & beyond your organization.

- Identify the key areas that require monitoring and define the scope of the monitoring process. - Define the metrics that will be used to measure the application's performance in production. - Use monitoring tools such as ELK stack to monitor logs and other performance metrics. - Create a monitoring plan that outlines the monitoring process, including the frequency of monitoring, the metrics to be monitored, and the tools to be used. - Monitor the application in production to ensure it performs as expected. - Report any issues immediately. - Use RUM to monitor the app from the user’s perspective which may not be detected by traditional monitoring tools. - Use ML and AI to predict potential issues and tackle them before they impact users.

To involve Quality Assurance (QA) in post-release monitoring: 1. Set clear quality metrics and KPIs. 2. Use automated monitoring tools to track performance. 3. Collect user feedback and analyze production issues. 4. Collaborate with operations, support, and development teams. 5. Provide continuous feedback to improve the product. 6. Establish an incident management process for critical issues. 7. Conduct regular post-release reviews for performance assessment and improvement. This approach ensures QA's active involvement in post-release monitoring, contributing to ongoing quality assurance and enabling continuous product enhancement.

Conduct regular post-release review meetings involving QA, development, and relevant stakeholders. Analyze the monitoring data, discuss any identified issues, and strategize improvements for subsequent releases.

Elevate post-release monitoring by intricately weaving Quality Assurance into the fabric of your process. Enlist QA's expertise in the release planning phase, outlining meticulous post-release performance metrics that impeccably align with stringent quality standards. Implement cutting-edge automated monitoring tools, fostering a continuous evaluation of product performance. Orchestrate periodic post-release reviews, where QA takes center stage, meticulously assessing product functionality and user feedback. Cultivate a collaborative ecosystem, ensuring QA, development, & operations teams work synergistically, guaranteeing a comprehensive & swift resolution to any quality-related concerns that may arise post-release.

This is what we call as hyper care or shift right testing. There are observability tools to monitor the user behavior and get input for the overall quality and next release planning