Investor Deck
Error Handling and Downtime Statistics
Error handling and downtime statistics in an investor pitch deck focus on how a company manages technical failures and ensures system reliability. This section should outline the procedures for dealing with system errors, the frequency and duration of downtime, and the measures in place to minimize these disruptions.
SECTION
Technology (Important)
IMPORTANCE
4
/10
Including error handling and downtime statistics is crucial as it demonstrates the company’s commitment to maintaining high service quality and reliability, key factors in customer satisfaction and retention. However, if the statistics reveal frequent or prolonged downtime, this could be perceived negatively by investors. Therefore, it’s important to also highlight continuous improvements and proactive strategies to mitigate such issues. Balancing the presentation of challenges with mitigation strategies and improvements is essential to maintaining investor confidence.
WHAT SHOULD BE INCLUDED:
Frequency of Downtime: Data on how often downtime occurs and under what circumstances.
Average Duration of Downtime: Information on how long systems typically remain down during incidents.
Error Rates: Statistics on the occurrence of critical errors within the system.
Resolution Strategies: Detailed descriptions of procedures for addressing and resolving downtime and errors.
Improvements and Upgrades: Updates on recent or planned upgrades to reduce errors and downtime.
TIPS
Use Clear Graphs and Charts: Visual data representations like graphs and charts can help clearly communicate complex statistics and trends.
Contextualize Data: Provide industry benchmarks or historical data for context, showing how your company’s performance measures up to industry standards or has improved over time.
Highlight Proactive Measures: Emphasize investments in infrastructure, training, or technology that contribute to reducing potential downtime and improving error handling.
EXAMPLES
Cloud Services Provider: Illustrating how their investment in redundant infrastructure and real-time monitoring systems has reduced downtime by 50% year-over-year, enhancing client trust and service reliability.
Online Retailer: Detailing their response strategy to handle peak shopping period errors, including automatic scaling of resources and quick rollback procedures, which minimized shopping disruptions during critical sales events.
Healthcare Tech Company: Showcasing statistics on error rates before and after implementing a new software update that includes advanced error detection and resolution features, significantly improving system stability and patient data integrity.