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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

HubSpot Ads Add-On (Early Version)

AdTech

HubSpot

The ads feature failed to deliver ROI tracking and advanced targeting options, limiting its appeal to serious marketers.

WHAT WENT WRONG

  • Inaccurate ROI calculations in reporting tools

  • Lack of features for custom ad targeting

SIGNALS MISSED

  • Feedback about missing advanced targeting capabilities

  • Low adoption by enterprise customers

HOW COULD THEY HAVE AVOIDED THIS

  • Building better tracking tools for accurate ROI reporting

  • Adding advanced features to appeal to professional marketers

TEAMS INVOLVED

Product, Engineering, Customer Success, Marketing

Sprinklr Social Listening

MarTech

Sprinklr

The social listening feature failed to provide actionable insights, leaving marketers frustrated with noisy or irrelevant data.

WHAT WENT WRONG

  • Poor data filtering and categorization algorithms

  • Weak visualization tools for insights

SIGNALS MISSED

  • Feedback highlighting irrelevant or excessive data points

  • Low satisfaction scores from marketing teams

HOW COULD THEY HAVE AVOIDED THIS

  • Refining algorithms to prioritize actionable insights

  • Enhancing visualizations to highlight key trends

TEAMS INVOLVED

Product, Data, Engineering, Design

Oracle Eloqua (Early Revamp)

MarTech

Oracle

A major revamp of the marketing automation platform introduced bugs and removed features users relied on, leading to customer dissatisfaction.

WHAT WENT WRONG

  • Poor communication about changes in features

  • Bugs in revamped workflows during deployment

SIGNALS MISSED

  • Early feedback highlighting missing features in beta

  • Customer complaints about broken workflows post-update

HOW COULD THEY HAVE AVOIDED THIS

  • Running beta programs with clear communication on changes

  • Ensuring robust QA testing before rollout

TEAMS INVOLVED

Product, Engineering, Customer Success, QA

Hootsuite Paid Ad Manager

AdTech

Hootsuite

The feature for managing paid ads on social media platforms underperformed due to bugs and limited targeting options.

WHAT WENT WRONG

  • Bugs in ad creation and reporting workflows

  • Lack of advanced targeting compared to native platforms

SIGNALS MISSED

  • User feedback highlighting poor ad performance metrics

  • Low usage rates for the paid ads feature

HOW COULD THEY HAVE AVOIDED THIS

  • Ensuring parity with native ad platforms’ targeting options

  • Conducting extensive testing before deployment

TEAMS INVOLVED

Product, Engineering, QA, Marketing

Canva Content Planner (Early Versions)

MarTech

Canva

The tool failed to meet expectations as a comprehensive content calendar due to limited scheduling options and third-party integrations.

WHAT WENT WRONG

  • Lack of robust integration with popular social platforms

  • Poor feature set for advanced scheduling needs

SIGNALS MISSED

  • User feedback requesting integrations with key platforms

  • High churn among early adopters

HOW COULD THEY HAVE AVOIDED THIS

  • Partnering with social platforms for better API integrations

  • Adding features tailored for advanced marketing teams

TEAMS INVOLVED

Product, Design, Marketing, Engineering

IBM Watson Marketing

MarTech

IBM

Despite its advanced AI capabilities, the platform struggled with usability, leading to low adoption among non-technical marketers.

WHAT WENT WRONG

  • Overly complex interface and features

  • Poor alignment with day-to-day marketing workflows

SIGNALS MISSED

  • High drop-off rates during onboarding

  • Feedback indicating that the platform was too technical

HOW COULD THEY HAVE AVOIDED THIS

  • Simplifying the user interface for non-technical marketers

  • Offering tailored training sessions for new users

TEAMS INVOLVED

Product, Design, AI, Customer Success, Marketing

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