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What Went Wrong...

Examining the missteps of various software products across industries reveals common pitfalls that can derail even the most promising innovations. From inadequate market research and poor user experience design to insufficient testing and failure to adapt to technological advancements, these challenges underscore the importance of thorough planning and execution. The following section outlines specific cases, offering insights into how these factors contributed to their downfall and the lessons that can be gleaned to inform future endeavors.

Available Lessons:

200

AI Claims Bot (Early Version)

InsurTech

Lemonade

Lemonade’s AI claims bot faced backlash after denying claims without sufficient explanation, leading to mistrust among users.

WHAT WENT WRONG

  • Poor transparency in claim denial processes

  • Lack of human oversight for complex claims

SIGNALS MISSED

  • Customer complaints about unexplained claim rejections

  • Negative press highlighting mistrust in automated decisions

HOW COULD THEY HAVE AVOIDED THIS

  • Incorporating human review for flagged claims

  • Enhancing transparency in how AI decisions are made

TEAMS INVOLVED

Product, AI, Engineering, Customer Success

Carbon Tracker Emissions Monitoring Tool

CleanTech

Carbon Tracker

A tool designed to monitor corporate carbon emissions failed due to inaccurate reporting and limited automation for data collection.

WHAT WENT WRONG

  • Inaccurate calculations of emissions across industries

  • Manual data entry requirements increasing user burden

SIGNALS MISSED

  • User complaints about reporting inaccuracies

  • Low adoption rates due to high data entry requirements

HOW COULD THEY HAVE AVOIDED THIS

  • Automating data collection through APIs and sensors

  • Improving calculation algorithms with diverse industry datasets

TEAMS INVOLVED

Product, Data, QA, Customer Success

Schneider Electric EV Charging Management Tool

CleanTech

Schneider Electric

A software tool for managing EV charging stations failed to gain traction due to poor user interface and limited reporting capabilities.

WHAT WENT WRONG

  • Clunky interface for station operators

  • Limited analytics tools for usage and maintenance data

SIGNALS MISSED

  • Operator complaints about lack of actionable insights

  • Low adoption rates during initial deployments

HOW COULD THEY HAVE AVOIDED THIS

  • Conducting usability testing with EV station operators

  • Expanding reporting tools to include actionable insights

TEAMS INVOLVED

Product, Engineering, QA, Customer Success

Vestas Wind Performance Analytics

CleanTech

Vestas

An analytics tool for wind turbine performance failed due to poor integration with SCADA systems and inaccurate energy output predictions.

WHAT WENT WRONG

  • Weak compatibility with existing SCADA systems

  • Inaccurate energy output calculations under variable conditions

SIGNALS MISSED

  • Operator complaints about mismatched data outputs

  • Reports of integration challenges with older turbines

HOW COULD THEY HAVE AVOIDED THIS

  • Partnering with SCADA vendors for smoother integration

  • Enhancing predictive models with real-world wind data

TEAMS INVOLVED

Product, Engineering, QA, Data

First Solar Predictive Maintenance Platform

CleanTech

First Solar

A predictive maintenance tool for solar farms failed to deliver actionable insights due to poor data integration and limited predictive accuracy.

WHAT WENT WRONG

  • Weak AI models for failure prediction

  • Poor integration with monitoring hardware

SIGNALS MISSED

  • Rising reports of undetected equipment failures

  • Feedback highlighting integration challenges

HOW COULD THEY HAVE AVOIDED THIS

  • Enhancing AI models with real-world failure data

  • Testing hardware-software compatibility before rollout

TEAMS INVOLVED

Product, AI, Engineering, QA

Enel X Energy Marketplace

CleanTech

Enel X

A platform designed to allow businesses to buy renewable energy credits failed due to lack of transparency and poor user engagement.

WHAT WENT WRONG

  • Limited educational resources for businesses unfamiliar with RECs

  • Poor communication about transaction transparency

SIGNALS MISSED

  • Feedback from users citing confusion about REC pricing

  • Low transaction volumes after launch

HOW COULD THEY HAVE AVOIDED THIS

  • Adding educational resources about RECs for businesses

  • Ensuring clear pricing and transaction tracking

TEAMS INVOLVED

Product, Marketing, Operations, Customer Success

Fractional Executives

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