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Iteration Leads To Powerful Results in Design.

“You can only make it once but you can make it better as many times as you need”

Clients rarely arrive at a design firm with a detailed project roadmap in hand. Instead, they have a hazy idea of what they require – make it pop, bring a wow factor, make it look good, and so on. In such cases, the designer’s main challenge is to get into the clients’ heads and create things exactly how they want the product to look, even if the clients themselves lack understanding.

The best way to ensure your design is a perfect fit is to work in iterations. This allows us to create a solution that satisfies the client and meets the needs of the customer.

Iteration Leads To Powerful Results in Design

Iteration, the most fundamental concept in design

In its most basic form, iteration is simply a series of steps that you repeat, tweaking and improving your product each time. With every repetition, iteration aims to move a little bit closer to the optimal situation. As designers, we are always looking to improve on the current design approach and this is where an iterative design process comes in handy.

​​You can think of the iterative design process as a continuous cycle of prototyping, testing, and making adjustments and refinements – it is an ongoing, incremental process leading to the best possible outcome.

The 1997 version of Apple.com
The 1997 version of Apple.com
The 2022 version of Apple.com
The 2022 version of Apple.com

It’s fascinating to observe how the product gradually changed the appearance of its own homepage, going from its ugly beginnings to its current minimalism to align with the current design trends and in response to user feedback.

The do’s and don’ts of design Iteration

  1. Do: Fail Faster
    Embrace trial and error to learn what not to do even when you miss the mark by adopting a “fail faster” mentality. Since failure is unavoidable, it is best to deal with it as soon as possible while still taking note of what can be learned.
  1. Do: Be Flexible
    Design methodologies still allow for some flexibility even though they have strict guidelines to help us express our creative freedom without devoting too much time to each iteration. In the end, we must choose which opportunities to prioritize first, when to iterate or test more, and how many concurrent design iteration processes should be running at once.

    These choices are largely based on intuition and experience, utilizing any data and research that may be available.
  2. Do: Work Asynchronously
    Utilizing all resources (tools, teammates, etc.), complete tasks as quickly as possible by allowing other designers to work on unrelated aspects of the product in parallel and developers to start putting validated solutions into practice. By doing both of these, product turnaround times will be drastically reduced.
  1. Do: Collaborate and Listen
    Which issue ought to be resolved? What version is the best? Is the testable prototype ready? What do all of these comments mean? We are confident in our ability to respond to these questions because of the unique expertise and new perspective that our teamwork partners have to offer.
Iteration in Design
  1. Don’t: Try to Solve Everything
    Avoid attempting to solve new problems once the issue we’re solving during the design iteration process has been selected. Even though it’s common to find areas that can be improved (during testing or through observation), make a note of them since they might make excellent starting points for subsequent iterations.

    We cannot measure the effect that design iterations are having on key metrics if we allow scope creep to occur.

Benefits of Iteration in Design

  1. It Saves Resources
    Because iterative design processes frequently give us user feedback (or stakeholder feedback, at the very least), which drives us forward at a steady pace, they almost always save the most time.

    Positive feedback can help us know when we’re heading in the right direction, and negative feedback can help us know when we’re heading in the wrong direction, so we’re always moving forward and never really wasting any precious time.

    Without any feedback, we run the risk of racing to the finish line only to fall short, wasting a lot of time and bandwidth. Design iteration is also the most economical choice because time is money.
  1. It Facilitates Collaboration
    Healthy collaboration is facilitated by an iterative design process because it gives stakeholders the chance to provide feedback and even share their own ideas. This gives us information that we wouldn’t have learned on our own because we can only see things from our own point of view.
  1. It Addresses Real User Needs
    Designers have a tendency to work alone if they don’t follow a methodical iteration process (especially one that includes collaboration). Being siloed makes us overly introspective, which causes us to jump to conclusions and engage in counterproductive perfectionist tendencies.

    But using an iterative design process makes sure we remain focused on user needs and make choices based on their input. Additionally, prioritizing the next best design improvement method rather than concentrating on haphazard ones helps us.
  1. Facilitates Regular Updates
    Instead of just dumping the end result on stakeholders and keeping them in the dark until then, an iterative design process allows us to regularly update them on the status of the project.

    It means that developers can start even while the design is still in progress, which is especially advantageous for developers.

In Conclusion

Designers can quickly create and test ideas thanks to the iterative design. Those that show promise can be quickly iterated until they take enough shape to be developed, while those that don’t show promise can be abandoned right away.

The 90’s version of arngren.com
The 90’s version of arngren.com

Here’s an example of what happens when we don’t iterate – this 90s website is still around.

So do it, then do it again!

About the Author: Unnathi is a UI/UX designer, currently working at Mantra Labs. She is passionate about research and has expertise in building digital systems that provide engaging experiences. 

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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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