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]]>Our regression analysis shows strong correlations with high performance when organizations effectively:
Respondents’ perceptions of product development methodologies also showed up in our data. Over 90% of survey respondents are actively involved in the product development process. Those who lack an understanding of the method in use clearly are part of organizations that underperform. Additionally, those who believe using Agile/Scrum leads to high product profitability are more likely to be in organizations that perform well financially. Knowledge clearly makes a difference.
Lastly, the most highly productive teams believe their effectiveness would increase through the use of better tools and automation. Here, again, knowledge makes a difference. Teams that have implemented effective team processes are looking to expand their uptake of DevOps and Extreme Programming (XP) practices with the latest automated refactoring, test, build, and infrastructure-deployment tools.
As of this post, we conclude our exploration of the findings drawn from the latest Global Study of Product Team Performance. Starting next week, we’ll switch gears and begin a discussion of product management tools that can grease the wheel of success within your team and your organization.
Advancing the Profession of Product Management
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]]>This post discusses the sixth and final key finding gathered from the analysis of the latest Global Study of Product Team Performance.
Just over 50% of our survey respondents are members of technology development teams. For this reason, this finding is particularly meaningful to technology development organizations.
The sixth indicator of high performance is essentially possessing the desire for improved tools and increased automation. Organizations that have implemented effective team processes often seek out ways to further improve efficiency.
This indicator points to the rapid uptake of DevOps and the Extreme Programming (XP) practices that underpin it.
This particularly points to:
The up swell of enthusiasm for test-and-build automation has driven strong tool development and rapid tool advancement. This includes having check-ins kick off build scripts that not only compile binaries, but also generate documentation, tests, and statistics. They also kick off test automation, plus generate and deploy distribution media, website pages, and program logic to servers.
In addition, on the operations side, tooling like continuous configuration automation enables automated rollout of both physical and virtual infrastructure. The result is that teams with effective team processes find themselves continuously looking with longing for the latest – and the latest is rapidly evolving.
For several weeks now we have delved into the responses and analysis of the latest Global Study of Product Team Performance. Next week, we reach the conclusion when I will share a few final thoughts on this interesting survey and its outcomes.
Advancing the Profession of Product Management
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]]>Today we will look at the fifth of six total key findings drawn from the analysis of the latest Global Study of Product Team Performance. Next week we will wrap up the full set of analytic findings gained from the latest survey.
A substantial 43.5% of survey respondents indicate that their team prioritizes the backlog effectively. When we submitted this question to regression analysis, the correlation was clear:
Conversely, 37.9% of respondents indicate that their backlog is a jumble. Our regressive analysis shows that product teams that describe their backlog in this way are negatively correlated with high performance. That is, they are unlikely to perform well.
The importance of effective backlog grooming cannot be overstated. Not only does an effectively groomed backlog ensure that teams are always applying themselves to work that customers will highly value, but it also serves to motivate developers.
In fact, just by working on the top backlog item developers know they will positively impact customers more than they would by doing anything else. That motivational factor cannot be overstated.
In the final summary post of this series based on findings from the Global Study of Product Team Performance, we will pull the study’s takeaways together and give you the complete scope of takeaways you can use to build a stronger, more effective product team.
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]]>54% of respondents stated that they use development cost as a factor in determining which high level requirement they pursue. Unfortunately, our data indicates that organizations doing so are likely to be poor performers.
We believe that product managers must consider development cost in calculating ROI. It should also be used in determining how to deliver the most bang for the buck to customers. However, study data shows that neither high performance teams, nor teams in organizations meeting their financial goals, take development cost into consideration at the time requirements are being prioritized.
When the backlog is effectively prioritized, there is no such negative correlation. Furthermore, there is also no standout positive correlation with any of the other requirements-prioritization criteria we asked about. These include revenue, profitability, customer importance, internal stakeholder influence, risk, and technical considerations (e.g. architecture, stability, scalability).
It is critical that product managers and owners break down work into small enough chunks to ensure that high cost is not made an excuse for not delivering the highest customer value. The work breakdown can be by stories (Agile), minimum marketable features (MMFs), minimum viable products (MVPs), or experiments (lean-startup). The important point is that dividing the work, and thus the cost of the work, allows teams to deliver the highest value in the shortest time.
Be sure to check out my post next week when we will discuss the fifth key performance indicator drawn from the most recent Global Study of Product Team Performance.
Advancing the Profession of Product Management
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]]>Only a certain group of survey respondents identified a methodology responsible for making their product more profitable. Those who named Agile Scrum as the source of their improved product profitability are, in fact, typically in companies that meet or exceed their financial goals.
This result is not surprising. Agile Scrum draws on many best practices and assembles them to deliver synergies that newbies often find eye opening. The practices and the synergies are “best practices” because they deliver higher productivity, better quality, and improved products. Each of these outcomes leads to positive financial results.
The survey shows that over 52% of respondents believe that Agile Scrum leads to improved profitability. Yet, only 48% of organizations say they actually use Agile Scrum. The finding that more respondents associate Agile Scrum with product profitability than actually use it is consistent with results from previous years.
Since 43% of teams say they are high performing, the correlations would suggest that those teams using or at least believing in Agile Scrum make up the majority of teams that are high performing.
My next post will reveal the analysis behind the important fourth key performance indicator.
Advancing the Profession of Product Management
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]]>Analysis of the latest data illustrates an important point: Product team members who cannot project which product development methodology would make their products more profitable are more likely to be in organizations that perform poorly.
We cannot say exactly why this is. However it suggests that lack of exposure to modern methodologies may be to blame. This includes teams that have been locked into Waterfall and have not yet tried Agile. It can also include teams that are basically in chaos and don’t have any coherent methodology.
On the other hand, there’s a lot of “bad Agile” out there. These are methodologies that are Agile in name only, not in practice or in spirit. Such a situation could lead a team to believe that nothing will help.
Regardless of its root, the second key performance indicator is a remarkable conclusion. It is highly significant to be able to identify the connection between how team members do their work and product profitability.
Watch for next week’s blog post when we will discuss the third of six key performance indicators of high performing teams.
Recap of First Key Performance Indicators:
Advancing the Profession of Product Management
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