In the tech world, failure isn’t just common – it’s expected. Whether it’s a product flop, a system outage, or a misjudged market need, setbacks are part of the process. But what separates successful leaders is how they respond. This article explores stories from tech founders and CTOs who turned mistakes into lessons, offering practical insights for anyone in the industry.
Key Takeaways:
- Failure is data: Treat mistakes as opportunities to learn, not as personal flaws.
- Common pitfalls: Poor market validation, scaling too fast, and ignoring early warning signs.
- Learning tools: Use blameless retrospectives, postmortems, and controlled experiments to improve.
- Leadership impact: Sharing failures builds trust and encourages teams to address issues early.
Tech leaders who embrace these practices create environments where teams can experiment, learn, and improve without fear. Failure isn’t the end – it’s a step toward better decisions.
My $10M Failed Startup Story – Learnings & Advice for Entrepreneurs
Why Tech Leaders Should Share Failure Stories
In the tech world, failure isn’t just common – it’s practically inevitable. Teams often work on cutting-edge products in uncertain markets, tackling problems without clear solutions. The fast-paced nature of software development means teams prioritize shipping features quickly and learning from actual usage rather than waiting for perfection. Combine that with pressure to grow rapidly and meet investor expectations, and you have an environment where speed often beats caution – until things go wrong. These missteps, however, are where some of the most valuable lessons emerge, shaping both innovation and leadership.
Statistics back this up: more than half of venture-backed startups fail to return investor capital. Common reasons include poor product–market fit, financial mismanagement, dysfunctional teams, and flawed business models. These patterns aren’t anomalies – they’re part of the high-stakes world of tech, where failure is a statistical reality.
When leaders openly share their failures, they send a powerful message: failure is a key part of innovation. By normalizing mistakes, they reduce the stigma that often prevents teams from addressing problems early. When senior leaders talk candidly about what went wrong and how they pivoted, it encourages employees to view setbacks as opportunities to learn rather than career-ending events. This openness fosters a culture where issues are raised sooner, and lessons are shared across teams.
Stories of failure resonate far more than abstract advice. For example, a CTO recounting how they underestimated infrastructure needs and caused an outage is far more impactful than a vague reminder to "plan for scale." These narratives provide context – what the leader believed, what constraints they faced, and what signals they missed – making the lessons more relatable and actionable.
Platforms like Code Story have tapped into this appetite for authentic stories. Across tech conferences, podcasts, and founder communities, "failure panels" and postmortems are becoming commonplace. Even large companies now publish engineering postmortems, showing that transparency about failure is not a liability but a competitive edge.
How Failure Drives Innovation
Failure isn’t just a setback; it’s a catalyst for experimentation and learning. In the startup world, there’s a growing emphasis on "failing fast" – running small, controlled experiments to identify what doesn’t work before committing significant resources. Each failure becomes a data point that informs the next step.
Some of the most iconic tech products owe their success to lessons learned from earlier failures. Research shows that reflecting on mistakes can improve future performance even more than analyzing successes, especially in complex fields like software development and product management.
Many companies have embraced this mindset with practices like blameless postmortems, "failure forums", or even awards for smart risk-taking. These initiatives reinforce the idea that the goal isn’t to avoid mistakes entirely but to test, learn, and iterate.
Take the example shared on the December 2, 2025 episode of Code Story, where Raj Dosanjh, co-founder of Paid, described how his co-founder’s previous startup failure led to identifying a gap in the market for billing solutions. That insight eventually paved the way for Paid’s success, showing how past missteps can lead to future breakthroughs.
Using Failure to Improve Leadership
When leaders share their own missteps – whether it’s misjudging a market or mishandling a conflict – they demonstrate humility and build trust. This openness encourages team members to admit mistakes early, speak up about risks, and collaborate on solutions. It sets the tone for a culture where learning takes precedence over blame.
Being transparent about failures also prevents revisionist history. Teams can accurately identify root causes instead of drawing the wrong conclusions. When leaders take accountability for their role in a failure, they set a standard for integrity, showing that the focus is on learning and improving, not scapegoating.
Leaders can further amplify these lessons by connecting failure stories to specific changes they’ve implemented. For instance, a failed product launch might lead to structured user research before feature development, or a system outage might result in updated operational protocols. These concrete actions reinforce a feedback-driven culture.
Research on psychological safety shows that teams where members feel safe admitting mistakes and raising concerns tend to perform better over time. They learn faster, produce higher-quality outcomes, and handle challenges more effectively. On the other hand, organizations that hide failures often become risk-averse, with teams more focused on protecting their reputations than on innovating. This not only stifles creativity but also allows problems to fester.
Here’s how openness about failure transforms team dynamics:
| Aspect | When Failure Is Hidden | When Failure Stories Are Shared |
|---|---|---|
| Team behavior | Risk-averse, defensive, hesitant to raise issues | Candid, open to experimentation, quick to report problems |
| Learning speed | Repeats mistakes, slow to improve | Adapts quickly, avoids repeated errors |
| Innovation culture | Focused on avoiding mistakes | Focused on testing and iterating ideas |
| Psychological safety | Low; fear of blame | High; encourages early issue escalation |
| Leadership credibility | Seen as distant or unapproachable | Seen as relatable, trustworthy, and experienced |
In leadership and entrepreneurship programs across the United States, structured reflection on failure is becoming a key part of the curriculum. Executives analyze their worst decisions, not to dwell on missteps, but to extract lessons that strengthen their leadership. This shift underscores that vulnerability and openness about mistakes aren’t weaknesses – they’re essential traits for modern tech leaders.
Failure Stories From Tech Leaders
Real-life accounts of failure often show how tech leaders adapt, learn, and ultimately grow stronger. These stories offer key lessons and highlight the transformative changes that can arise from setbacks.
Startup Founder: Missing the Market
Raj Dosanjh, co-founder of Paid, faced the collapse of a startup before finding success with Paid. That failure taught him a crucial lesson: the importance of thoroughly validating the market. Armed with this insight, Dosanjh and his new co-founder focused on deeply understanding their target audience and ensuring there was real demand for their billing solution before fully committing their time and resources.
CTO: Scaling Problems and System Outages
Marco Rodrigues, founder of Exaforce, encountered significant challenges as his security teams became overwhelmed by excessive data and outdated tools. These operational struggles pushed Rodrigues to create an "agentic SOC platform", a solution designed to address inefficiencies and streamline processes.
These examples highlight how failure, when approached with the right mindset, can lead to breakthroughs – whether by refining market strategies or rethinking how technology addresses persistent issues.
Common Lessons From These Failures
Looking at the experiences of tech leaders, certain patterns of failure emerge that are surprisingly predictable. Recognizing these patterns can help professionals sidestep similar mistakes and build stronger, more adaptable organizations.
What Usually Causes Failure
One of the biggest reasons for tech failures is relying on untested product-market assumptions. CB Insights reports that 35% of startup failures happen because there’s “no market need.” In other words, teams often skip the critical step of validating whether their product solves a real problem.
Scaling too fast or in the wrong way is another common issue. The same CB Insights study found that 38% of startups failed because they ran out of money. Many of these companies burned through cash trying to grow aggressively before they had a proven, sustainable business model.
Communication breakdowns and misaligned goals are also major contributors. Research into large-scale failures often highlights human and process issues – like poor communication, missing documentation, or unchecked configuration changes – as being even more damaging than technical flaws. When teams don’t effectively share information or when leadership and product teams aren’t on the same page, even well-engineered projects can collapse.
Another frequent mistake is ignoring early warning signs. Waiting until revenue plummets or systems completely fail to act is a recipe for disaster. Metrics like rising error rates, early adopter churn, increasing support tickets, or dropping satisfaction scores can serve as early indicators of trouble. Addressing these signals early can prevent small problems from snowballing into full-blown crises.
Understanding these pitfalls is the first step toward creating strategies that turn failure into growth.
How Leaders Can Learn From Failure
Once the causes of failure are clear, leaders can use those insights to drive meaningful progress. The key difference between repeating mistakes and improving lies in how failures are processed and addressed.
Many companies, including Google and Etsy, use blameless retrospectives to shift the focus from assigning blame to understanding system-level flaws. Google’s Project Aristotle research emphasizes the importance of psychological safety – where team members feel safe admitting mistakes and asking questions – as a foundation for high-performing teams.
Postmortems are another powerful tool for learning. By documenting timelines, impacts, contributing factors, and actionable steps using a standardized template, teams can uncover deeper issues like resource shortages or recurring communication problems. This process not only prevents repeat mistakes but also strengthens operational resilience.
Some companies are also reframing failure through dedicated experiment budgets. By allocating resources to controlled experiments, A/B testing, and feature flags, teams can test ideas in a low-risk environment. This approach treats failed experiments as learning opportunities rather than wasted time, encouraging innovation and reducing fear of setbacks.
Leaders who openly discuss their challenges and near-misses set a powerful example. Platforms like Code Story highlight interviews with tech leaders, founders, and executives who share their toughest moments and how they recovered. These stories help normalize failure as a natural and necessary part of growth.
Finally, integrating lessons learned into everyday workflows ensures that knowledge is preserved and applied. Updating runbooks, onboarding guides, design checklists, and decision logs helps institutionalize what teams have learned, so the organization continues to benefit even as individuals move on.
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Creating a Culture That Accepts Failure
Shaping a workplace where failure is seen as a stepping stone to growth requires intentional shifts in communication, decision-making, and how success is measured. For fast-paced U.S. startups, this might feel counterintuitive. But when mistakes are treated as opportunities to refine products and processes – rather than personal flaws – companies can adapt more quickly and allocate resources more effectively by identifying dead ends early.
At the heart of this approach is how leaders frame risk. When founders and executives openly support calculated risks, reward early identification of issues, and encourage documenting lessons learned, they send a clear message: failure is part of progress. Performance reviews should reflect this by evaluating how quickly problems were spotted, what was learned, and how those insights shaped future decisions. Below, we’ll explore practical steps to nurture this mindset.
Making It Safe to Discuss Failures
Psychological safety doesn’t just appear – it requires deliberate effort. Teams need clear signals from leadership that admitting mistakes and discussing failures is not only acceptable but encouraged. Without these signals, problems often stay hidden until they escalate into costly crises.
Leaders can set the tone by openly sharing their own mistakes in team meetings, sprint reviews, or one-on-one discussions. Specific examples work best. For instance, a CTO might talk about a scaling decision that caused an outage, or a founder might admit to hiring the wrong person for a key role. These admissions create a culture where honesty feels safe.
Equally important is how leaders react to incidents. Instead of pointing fingers with questions like, "Who messed up?", they should ask, "What in our process allowed this to happen?" This shifts the focus from blame to improvement. Publicly acknowledging those who raise issues early or help resolve them reinforces the value of speaking up. Leaders can also praise well-thought-out experiments that didn’t go as planned, whether during standups or in company Slack channels, showing that effort and learning are appreciated.
To formalize this approach, startups can implement blameless postmortems. These sessions should focus on timelines, contributing factors, customer impact, and actionable follow-ups – avoiding any finger-pointing. Scheduling these discussions soon after a failure, keeping them concise (45–60 minutes), and having a trained facilitator guide the conversation ensures they remain constructive. Questions like "What guardrails were missing?" or "Where did the handoff fail?" steer the discussion toward systemic solutions. Action items should be tracked and reviewed in standups to demonstrate that honest conversations lead to meaningful change.
Regular retrospectives at the end of each sprint can further normalize failure. Including prompts like "What didn’t work?" or "What risks should we have taken?" ensures that setbacks and near-misses are consistently addressed. Over time, this routine lessens the emotional weight of failure, fostering a shared sense of responsibility across all levels of the organization.
These practices lay the groundwork for incorporating lessons from failures into everyday operations.
Adding Failure Lessons to Daily Work
Creating a safe space for discussing failures is just the beginning. Startups also need systems to capture and apply the lessons learned. Without formal processes, valuable insights can disappear when team members leave.
A decision log is one way to preserve these lessons. This log should document key decisions, the reasoning behind them, assumptions, expected outcomes, and the date. If a decision leads to a negative result – like missed revenue goals or increased churn – the log can be revisited to identify flawed assumptions and update it with actual outcomes and lessons learned. Over time, this archive becomes a valuable resource for onboarding new hires, avoiding repeated mistakes, and grounding leadership discussions in data.
Experimentation frameworks like A/B testing, feature flags, and MVP launches help teams approach initiatives as tests rather than high-stakes bets. For example, a startup might introduce a new onboarding flow to just 10% of users and define specific metrics – like activation rates or support ticket volume – to decide whether to scale, tweak, or scrap the change. When experiments fail, teams can quickly assess the impact, understand where assumptions didn’t hold, and use those insights for future iterations. Planning for potential setbacks in this way keeps morale steady because negative outcomes are expected and treated as part of the process.
Some teams introduce a "failure of the week" or "learning of the week" segment during standups or sprint reviews. Here, one person shares a small setback – like an experiment that didn’t convert or a project that took longer than anticipated – and what they learned from it. These rituals make discussing failure a normal part of work, gradually removing the stigma.
Leaders can also share episodes from podcasts featuring tech executives candidly discussing their own missteps – whether it’s missing a market opportunity or a technical failure. These stories can be used as conversation starters during lunch-and-learn sessions or team discussions. Teams can then reflect on questions like, "Where are we taking similar risks?" or "What safeguards would have helped in this situation?" and translate the answers into actionable changes in their processes. Drawing on external examples can help employees – especially those from more risk-averse environments – feel more comfortable with the idea of failure.
To gauge progress, leaders can monitor metrics like the number of experiments run each month, the ratio of successes to failures, and the speed of moving from ideas to tests. A healthy experimentation culture often includes a mix of small, inconclusive, or negative outcomes. Surveys with questions like "I feel safe admitting mistakes on this team" or "When projects fail, we focus on learning, not blame" can provide insight into psychological safety. Operational metrics, such as time to detect and recover from incidents or the closure rate of postmortem action items, also reflect whether teams feel empowered to address issues early and treat them as shared learning experiences.
For startups under pressure to grow quickly, framing failure as "disciplined risk management" can resonate with investors and boards. Founders can explain that structured experiments – complete with budgets, timelines, and success criteria – ensure that negative outcomes redirect resources away from unpromising paths. Internally, aligning goals and incentives like OKRs or bonuses to include learning-focused outcomes (e.g., validated experiments or reliability improvements) encourages employees to prioritize long-term resilience over short-term wins.
Code Story: Where Tech Leaders Share Their Journeys

Code Story dives deep into the experiences of tech leaders, offering an honest look at the ups and downs of building groundbreaking digital products. Hosted by Noah Labhart – co-founder of Veryable and founder of Touchtap – the podcast brings together founders, CTOs, CEOs, and software architects to discuss the human side of tech leadership. Through candid interviews, they share their stories of triumph, failure, and everything in between.
What makes Code Story stand out is its focus on pivotal moments that shape leadership in tech. Guests don’t just highlight their successes – they openly discuss their missteps, how they recovered, and the lessons they learned along the way. As the podcast’s description puts it:
In their own words, tech veterans share what it feels like to create a world class product, how to recover from critical mistakes, and how to scale your solution to the masses.
This raw and honest approach offers listeners a rare glimpse into the realities of the tech startup world, going beyond surface-level advice to provide actionable insights. Recent episodes showcase this depth, using real-life examples to emphasize the importance of learning from failure.
For teams striving to normalize failure, Code Story can be a powerful tool. Sharing a 30–45–minute episode during a lunch-and-learn or team meeting can spark meaningful discussions about strategies like blameless postmortems or risk-managed experiments. When employees hear respected leaders recount stories of system outages, product flops, or hiring missteps, they’re reminded that setbacks are part of the journey – not personal failings.
Hearing how a CEO handled a hiring misstep or how a software architect navigated a technical debt crisis offers a level of context that’s hard to find in traditional management books or blog posts. This is especially valuable for early-career professionals or individual contributors who may not have direct access to senior leaders willing to share their failures so openly.
Episodes are free and released weekly, with a format that fits easily into busy schedules. For those looking to support the show, Code Story also offers merchandise like apparel and home goods, fostering a sense of community while keeping the core content accessible to all.
Whether you’re a founder working to build a culture that embraces failure, a CTO seeking reassurance that your challenges are normal, or an engineer curious about authentic leadership, Code Story delivers unfiltered perspectives that are hard to find elsewhere.
Conclusion
Failure is a given in the tech world. The fast pace of innovation and constant experimentation means that no leader escapes setbacks forever. What separates progress from stagnation is how those failures are handled. Viewing failure as a source of insight, rather than a judgment on your abilities, turns every misstep into an opportunity to learn and improve.
Consider the stories of leaders who faced challenges – a founder misjudging market needs, a CTO dealing with scaling issues, or a product leader struggling with misaligned priorities. In each case, growth came through owning the mistake publicly and making changes to how they approached validation, system design, or team alignment. Despite the differences in their circumstances, these failures often stemmed from similar issues: not understanding customers deeply enough, overextending technical systems, or failing to manage expectations effectively.
Failures highlight specific areas that need attention. A botched product launch might lead to better discovery processes. A major system outage could inspire stronger observability and incident response practices. A poorly executed project may push teams to improve communication and decision-making. When setbacks are treated as lessons, they can evolve into new processes, checklists, and leadership habits that build on each other over time. These lessons can transform failure into a powerful tool for growth.
Of course, failure can stir up feelings of shame and fear, especially for those in high-profile positions. But sharing these experiences can turn vulnerability into a strength. Framing failure as "this experiment didn’t work" rather than "I failed" helps separate personal identity from the outcome, making it easier to focus on the lessons learned.
Leaders who openly discuss their missteps – whether it’s a system outage, a product flop, or a hiring mistake – gain credibility and foster trust within their teams. When teams see their leaders embrace setbacks as part of the process, it reinforces the idea that failure is not the end, but a step toward something better.
Learning from failure is an ongoing skill. Start by reflecting on a recent setback, documenting what went wrong, and sharing those lessons with your team. Short, regular retrospectives can turn mistakes into opportunities for improvement. Many of the most respected tech leaders can point to multiple failures and explain how those moments shaped their decision-making today. Whether you’re building a company, a product, or a platform, how you respond to failure – by owning it, learning from it, and teaching through it – defines your leadership.
Take a small step this week. Schedule a brief "failure retrospective" to review a recent challenge and identify changes in your processes, tools, or communication. Create a personal habit, like journaling after major launches or decisions, to systematically capture and revisit lessons from setbacks. By adopting these practices, tech leaders can continuously refine their strategies and drive meaningful change.
The next big leap in your work could come directly from how you handle your last failure. The question isn’t if you’ll face setbacks – it’s whether you’ll let them teach you something.
FAQs
How can tech leaders foster a culture where failure is seen as a valuable learning experience?
Creating a workplace where failure is seen as a stepping stone rather than a dead end starts with tech leaders fostering open communication and shifting how mistakes are perceived. When team members know they can talk about setbacks without fear of blame, they’re more likely to reflect, learn, and come back stronger – fueling innovation along the way.
Leaders play a crucial role here by setting the tone. Sharing personal stories about their own missteps and the lessons they’ve drawn from them can make a huge difference. It shows the team that failure isn’t the end of the road – it’s part of the process. Another effective approach? Recognize and celebrate the effort behind a project, even if it doesn’t pan out as planned. This reinforces the idea that trying and learning are just as important as succeeding.
By creating a space where experimentation is not only allowed but encouraged, teams can build resilience and develop the confidence to tackle challenges head-on.
How can teams conduct blameless postmortems to learn from failures and improve performance?
Blameless postmortems offer teams a constructive way to examine setbacks, extract valuable lessons, and nurture a mindset geared toward continuous growth. The key to success lies in fostering an environment where everyone feels safe to share their perspectives without fear of judgment or blame.
Begin by compiling all the relevant details about the incident – this includes timelines, key decisions, and any contributing factors. Facilitate open discussions to uncover root causes, but keep the focus on systems and workflows, not individuals. The goal is to understand what went wrong and why, rather than assigning fault.
Wrap up by outlining clear, actionable steps to address the identified issues and reduce the risk of recurrence. Assign responsibility for these actions to ensure follow-through and accountability.
When teams prioritize collaboration and learning over finger-pointing, setbacks transform into meaningful opportunities to improve and move forward stronger.
Why should tech leaders share their personal stories of failure with their teams?
Sharing stories of personal failures can help tech leaders connect with their teams on a deeper level. It reminds everyone that even the most successful innovators encounter obstacles and setbacks, making them feel more relatable and approachable.
When leaders talk openly about their missteps, they set the tone for a culture that values learning from mistakes. This approach inspires team members to take thoughtful risks, embrace innovation, and view challenges as opportunities to grow – without the fear of being judged.