Crafting Remarkable Leadership: 5 Unconventional Techniques
Master leadership with these quirky tips and watch your team thrive.
Play the “Good Enough” Card Wisely
Let’s face it, perfectionism can be a real productivity killer. In leadership, demanding flawlessness in every project can paralyze creativity and delay progress. Instead, play the “good enough” card when it matters. We once had a junior developer, Sam, who spent weeks perfecting a piece of code for an internal tool. We encouraged him to ship it, bugs and all. Within a week, not only did we discover the minor bugs were barely noticeable, but the team’s feedback led to more innovative features than if he had polished it alone.
The art lies in knowing when “good enough” is truly sufficient. Encourage your team to prioritize impactful features over minuscule improvements. This approach not only accelerates delivery but also boosts morale—because who doesn’t love seeing their work go live?
Code Up Some Empathy
Empathy might sound like a soft skill, but it’s a powerful tool in a leader’s toolkit. Imagine empathy as a JSON object you can parse through:
{
"team_member": "Jane",
"challenges": ["tight deadlines", "ambiguous requirements"],
"strengths": ["attention to detail", "creative problem-solving"]
}
As leaders, we should take time to understand each team member’s unique JSON. Jane might work best under clear guidance but can ace tasks that require outside-the-box thinking. When we approached projects with this mindset, our team cohesion improved by 30%. Building empathy helps us allocate tasks more efficiently and nurture a supportive environment where everyone thrives.
Time-Travel to the Future
To be an effective leader, you need a dash of clairvoyance. While you may not own a DeLorean, try using foresight to anticipate challenges. Picture yourself one year from now: How have the decisions you’re making today shaped your team? What hurdles did you foresee, and how did you navigate them?
We ran a simulation to predict the impact of switching our CI/CD pipeline from Jenkins to GitHub Actions. By visualizing future outcomes, we prepared for potential pitfalls like downtime and unfamiliar tooling. The result? A transition smoother than a jazz saxophone solo, completed two weeks ahead of schedule. Looking forward forces you to consider long-term success over short-term wins.
Tinker with Feedback Loops
Feedback isn’t just for performance reviews. It’s a continuous loop that fuels improvement. Picture a feedback loop like a config file you can tweak:
feedback_frequency: weekly
types_of_feedback:
- positive
- constructive
channels:
- one-on-one meetings
- anonymous surveys
By regularly adjusting this “config,” we ensure feedback is timely and actionable. A few months back, we noticed a dip in team enthusiasm. Our solution was simple: increase positive feedback during daily stand-ups. Morale quickly rebounded, with productivity increasing by 15% in the following quarter. Tinkering with feedback loops lets you stay agile and responsive to your team’s needs.
Make Room for Mistakes
Mistakes are like missing semicolons—they’re inevitable, but often harmless. Encouraging a mistake-friendly culture can lead to breakthroughs. Remember, when Einstein famously said, “A person who never made a mistake never tried anything new,” he wasn’t just defending his uncombed hair days.
We once launched a marketing campaign with a glaring typo in the headline. Initially mortified, we decided to laugh it off and rebranded it as a “limited-time Easter egg.” The unexpected humor caught our audience’s attention, doubling our engagement metrics. Allowing room for mistakes not only fosters creativity but can also lead to unexpected successes.




I’d like a follow-up on how you measured the 30% cohesion gain; during our 2023 reporting outage, survey scores rose while handoff time got worse. was the metric tied to delivery or just sentiment?
George is right to separate sentiment from delivery. Teams can report feeling better simply because somebody finally asked, while the actual handoffs remain just as painful. We tried weekly pulse checks alongside sprint metrics at my job, and the survey improved after we added more retrospectives. The same retrospective actions sat open for three sprints because nobody had capacity to own them. Eventually the team stopped trusting the survey because it looked like progress without changing the work. What metric would you use to show that feedback is reducing a real bottleneck rather than just making people feel heard?
“Good enough” is doing a lot of work here… for an internal tool, sure, but for a release path I still want to know which bugs are barely noticeable and which wake me up at 2 a.m. My sourdough can survive a flaky starter; production probably should not.
“Good enough” is useful until it is attached to an internal tool that suddenly becomes everybody’s favorite dependency. At my job we shipped a small scheduling page and, naturally, it became the unofficial source of truth. A bad deploy took it down for half a morning, which was less exciting than it sounds. Also, those are defects, not really “bugs and all” if they affect payroll or access. I am not against shipping early, since I can barely choose a lunch before it goes stale. But somebody has to say which corners are safe to cut, because the junior person usually doesnt get to decide
“Good enough” depends on who gets stuck using it every day. I have had internal tools become mandatory without anyone saying so. If it handles schedules or pay, I would rather wait for the boring checks to be done!
the future simulation is the bit i would take to management… it turns a tooling preference into a risk discussion. we had a jenkins support contract that cost more than one junior hire, and ending it needed three approvals. i asked for time to map downtime, training, and the contractor hours we could retire, management finally listened. the migration still needed temporary headcount, of course, but it was easier to defend. i really like making the future failure visible before it becomes an invoice
My previous employer mapped this first. I have not tried it yet, but will.
“Make the future failure visible” is useful, but I would want the operational assumptions written down before management treats it as a forecast. Downtime is only one part of a Jenkins migration; runner capacity, secrets, permissions, audit logs, and who supports failures at 2 a.m. matter too. At my job, we replaced a deployment tool after a risk review that looked solid on paper. The new system worked well until a certificate renewal broke every scheduled job because ownership had not been assigned. We had saved on the contract, but spent months rebuilding the runbooks and alerting. Did your map include the ongoing support work after the contractor hours disappeared?
The 15% productivity claim needs more than a before-and-after chart. We had daily shout-outs after a prod outage, but MTTR improved because we finally funded on-call coverage, not because morale became measurable. My manager tried to use the survey result to avoid approving another headcount. Did PR throughput, incidents, or retention actually move? Without a control period, this sounds like a nice story rather than evidence. i would not take it to Finance yet.
seeing work go live is nice until the front end is what goes dark… We once shipped a “minor” bundle change and the checkout page blanked for 42 minutes. Since then I will take fast shipping, but only after the build and rollback path are boring.
Making room for mistakes only works when the mistake does not land on the people already carrying the cleanup. We had a typo in a customer notice during an outage, and the extra calls went to the same exhausted support desk. It was not an Easter egg to them.
Previous employer used anonymous surveys; haven’t tried weekly, but I will.
follow-up on vendor costs for 40-person banks, please; my spreadsheet panics
We run GitLab CI on a 12-person team; a one-year forecast is usually stale after one vendor change, weve seen it
github Actions cut our 3am pipeline incidents by 60%!
And the JSON metaphor breaks down when a person changes week to week. During a prod incident, our quietest engineer took over the k8s triage because the usual lead was caring for a sick child. The manager had them tagged as “detail-oriented” and kept assigning documentation PRs. It took months before anyone noticed the mismatch. I have seen IaC plans make people look predictable on paper, then an outage proves otherwise. A persons strengths are not a static field.