The OutSystems Development Efficiency

1
Name* This field is required.
2
Email* This field is required.Please enter a valid email to receive your personalized report
example@example.com
3
Phone NumberIn case you’d like us to contact you directly with more details.
Country/Area Code
Phone Number
4
Company / Organization* This field is required.
5
1.1 How does your team handle the creation of complex test data for new features or scenarios?* This field is required.
Our process is mostly automated. We can create or migrate rich, production-like data sets with minimal effort.
We have scripts or templates, but they often require significant manual updates and time to run for each new scenario.
It's almost entirely manual. Developers spend hours or even days creating data records from scratch for each sprint.
I don't have clear visibility into how much time is spent on this.
6
1.1 - Unknown?
7
1.2. Thinking about developer morale, how does your team perceive repetitive, non-creative tasks like managing test data?* This field is required.
It's a non-issue. Our developers are focused on solving business problems and building features, which keeps them engaged.
It's a known point of frustration. We hear occasional complaints about "boring" or "unfulfilling" data-related work.
It's a significant factor in developer burnout. The tedious nature of this work is impacting morale and could be a factor in talent retention.
I'm not sure how my team feels about this.
8
1.2 - Unknown?
9
1.3. How often are your developers forced to stop their development flow ("context switching") specifically to build or troubleshoot test data before they can proceed?* This field is required.
Rarely. They have on-demand access to the data they need to stay productive and in a state of flow.
Sometimes. It's a known interruption that happens a few times per sprint, breaking their concentration.
Constantly. This stop-and-start process is a major drain on our team's focus and daily productivity.
I'm not sure, we don't track these types of micro-interruptions.
10
1.3 - Unknown?
11
2.1. When a customer reports a bug in production, how quickly can your team replicate the exact data conditions to diagnose the issue?* This field is required.
Very quickly. We have a streamlined process to migrate and anonymize the specific production scenario for immediate testing.
It's possible, but it’s a time-consuming manual process that can delay the start of the fix by hours or days.
It's often impossible. We spend more time trying to recreate the bug with fake data than actually fixing it.
I don't know our average time-to-replication.
12
2.1 - Unknown?
13
2.2. At what stage in your lifecycle are most quality issues (e.g., functional bugs, performance bottlenecks) typically discovered?* This field is required.
Early, during development and QA, because our test environments closely mirror production
Late in the cycle, during User Acceptance Testing (UAT) or staging, causing a rush before go-live.
After release, when they are reported by end-users in production, damaging our reputation and requiring costly hotfixes.
We don't track metrics on where bugs are most often found.
14
2.2 - Unknown?
15
2.3. How confident are you that your current test data covers the complex "edge cases" and unexpected data combinations that actually exist in your production environment?* This field is required.
Very confident. Our testing leverages anonymized production data, so we cover real-world scenarios effectively.
Somewhat confident, but we know our manually-created data likely misses many subtle corner cases.
Not confident. Bugs often appear in production from scenarios we could never have predicted or manually created.
I don't have a way to measure our test data's real-world coverage.
16
2.3 - Unknown?
17
3.1. How does your team ensure compliance with data privacy regulations (like GDPR) when using production data for testing?* This field is required.
We have an automated and audited process for data anonymization and masking that is applied during every migration to lower environments.
We rely on manual processes to scramble or remove sensitive data, which is time-consuming and carries a high risk of human error.
We either avoid using production data entirely (limiting test quality) or we copy raw data, posing a significant compliance risk.
I am not fully aware of our data governance process for non-production environments.
18
3.1 - Unknown?
19
3.2. In the context of an audit (e.g., ISO 27001), how would you demonstrate that no sensitive production data exists in non-production environments?* This field is required.
Easily. We have an automated, recurring process that continuously anonymizes data in these environments, providing a clear, enforceable control and audit trail.
We would point to our company policies and manual procedures, but we cannot fully guarantee a developer hasn't manually introduced real data to fix a bug.
This would be a significant finding. We lack an enforceable, automated system, which auditors would view as a major compliance gap.
I am not involved in our compliance or auditing processes.
20
3.2 - Unknown?
21
3.3. How do you conduct performance and scalability testing for your applications?* This field is required.
We regularly test with production-scale data volumes in a dedicated environment, allowing us to proactively identify and fix bottlenecks.
We occasionally run tests with large data sets, but it's a complex, ad-hoc process that doesn't happen every release cycle.
We test with small, synthetic data sets that don't reflect real-world usage, so performance issues are typically only discovered after go-live.
We don't have a formal process for volume-dependent testing.
22
3.3 - Unknown?
23
4.1. How often are sprint goals or release deadlines delayed specifically due to bottlenecks in data preparation or migration?* This field is required.
Never or very rarely. Our data management process is seamless and does not impede our delivery pipeline.
Occasionally. Data-related tasks sometimes cause minor delays or force us to de-scope features from a sprint.
Frequently. Data availability is a common and predictable bottleneck that regularly jeopardizes our release timelines.
We don't specifically track delays caused by data-related issues.
24
4.1 - Unknown?
25
4.2. How do you manage creating consistent test data sets across multiple, interconnected OutSystems applications or modules?* This field is required.
Our tooling handles this seamlessly, maintaining referential integrity across all related applications in the test environment.
It requires a great deal of manual coordination and scripting to ensure data is consistent across different modules, and it often breaks.
It's so difficult that we typically test modules in isolation with inconsistent or incomplete data, missing integration-related bugs.
We haven't considered the challenge of cross-module data consistency.
26
4.2 - Unknown?
27
4.3. When you need to set up a new environment (e.g., for UAT, a training session, or a hotfix), how quickly can you populate it with a complete and consistent data set?* This field is required.
Very quickly, in a matter of minutes or hours. Our process is standardized and can be executed on demand.
It takes a few days and requires coordination between different teams (e.g., Developers, DBAs).
It can take a week or more. It's a major project setup task that often delays the start of actual work.
We rarely set up new environments because the process is too complex.
28
4.3 - Unknown?
29
Total Score
30
Score %
31
UnknownCounter
32
Hi {name},

Wow, congratulations!

Your Maturity Score is {score}%.

Your responses were genuinely impressive and indicate that you have a highly mature and automated data management strategy!

Your clear focus on developer experience and process efficiency places your team in the top tier of the OutSystems ecosystem!

Thank you for completing this Maturity Assessment. We'll create a complete, personalized report just for you - click "submit" below to send us this information so we may perform an in-depth analysis and send it to {email}.

For a deeper dive into the principles covered in the assessment, you can read my article here: Maximizing OutSystems Efficiency with Recurrent Data Migration.

We are also always looking to learn from the best in the community, and to share it. My name is Bruno Costa, and I would be honored to invite you to share your insights on a podcast for other OutSystems leaders. We believe your success story could inspire many others to improve their operations.

If you are open to discussing the podcast opportunity, please let me know by contacting me directly at bruno.costa@infosistema.com or through my linkedIN.

Congratulations again on your outstanding results!

Best regards,

Bruno Valente e Costa

Executive Partner

Infosistema

https://www.linkedin.com/in/bvalente/
33
Hi {name},

Thank you for completing this Maturity Assessment.

Your Maturity Score is {score}%.

We'll create a complete, personalized report just for you - click "submit" below to send us this information so we may perform an in-depth analysis and send it to {email}.

Your results show that you have solid processes in place, but also indicate that manual data management is likely costing your team significant time and creating friction in your sprints.

Teams with similar scores often reclaim 10-20% of their development time by automating these tasks!

For a deeper dive into the strategic advantages of this approach, I recommend reading our article: Maximizing OutSystems Efficiency with Recurrent Data Migration.

Recommended Next Step: See how DMM can directly address your challenges by scheduling a demo.

Best regards,

Bruno Valente e Costa

Executive Partner

Infosistema

https://www.linkedin.com/in/bvalente/
34
Hi {name},

Thank you for completing this Maturity Assessment.

Your Maturity Score is {score}%.

We'll create a complete, personalized report just for you - click "submit" below to send us this information so we may perform an in-depth analysis and send it to {email}.

The results from your assessment highlight several critical bottlenecks that are very likely causing release delays, allowing bugs into production, and frustrating your developers - probably impacting your time-to-market and talent retention.

The good news is that this is entirely solvable!

Data Migration Manager (DMM) was built to fix these specific problems. By implementing DMM, teams like yours can achieve a dramatic improvement in workflow - we estimate you could increase your team's efficiency by over 25%.

For a deeper dive into the strategy for fixing these issues, you can read our article here: Maximizing OutSystems Efficiency with Recurrent Data Migration.

Recommended Next Step: Don't let these issues continue to slow you down. Let's schedule a brief, 15-minute call to discuss how DMM can deliver an immediate ROI for your team. You can book a time directly on my calendar.

I look forward to speaking with you.

Sincerely,

Bruno Valente e Costa

Executive Partner

Infosistema

https://www.linkedin.com/in/bvalente/
35
Hi {name},

Thank you for completing this Maturity Assessment.

Your Maturity Score is {score}%, but this only reflects the areas you had information on.

We'll create a complete, personalized report just for you - click "submit" below to send us this information so we may perform an in-depth analysis and send it to {email}.

Your answers indicate a lack of visibility into key areas of your development pipeline.

This is a very common challenge.

What we've found is that a lack of metrics in these areas often points to underlying process gaps that DMM is specifically designed to solve.

Even without precise numbers, the patterns in your responses suggest that DMM will help your team a lot by standardizing your workflow and making it measurable.

Other teams were able to increase efficiency and speed between 10%-25%!

A tool like Data Migration Manager (DMM) does more than just move data - it creates the consistency needed to gain control over your environments and provides clarity on where the real bottlenecks are.

For more context on how a standardized data process boosts efficiency, I recommend this article: Maximizing OutSystems Efficiency with Recurrent Data Migration.

Recommended Next Step: Let's discuss how you can gain better visibility into your development lifecycle and start making data-driven improvements. You can schedule a brief chat using my agenda link.

Let me know what works best for you!

Best regards,

Bruno Valente e Costa

Executive Partner

Infosistema

https://www.linkedin.com/in/bvalente/
Should be Empty: