Introducing SlashData Intelligence for Software Engineering Leaders: recurring research for engineering decisions
Key takeaways
SlashData is launching SlashData Intelligence for Software Engineering Leaders, a recurring research programme for CTOs, CPTOs, CEOs, VPs and SVPs of Engineering.
Each Developer Nation wave will examine a major decision facing engineering organisations, combining open-access research with deeper premium intelligence.
The first release explored AI ROI measurement. The next will investigate the future of developer teams, combining quantitative evidence with recurring interviews with software engineering leaders.
Readers can follow the research, speak directly with SlashData analysts, and help shape future topics.
Internal telemetry cannot tell you where the market is
Engineering leaders are confident about AI. Their evidence is thinner than their confidence. The questions facing software engineering leaders are becoming harder to answer from inside their own organisations.
Which AI investments are actually delivering value? How should that value be measured? How will AI change the structure of development teams? Which skills will become more important? Where are other engineering organisations investing, experimenting or pulling back?
Internal metrics can answer part of this. Vendor information can answer another part. But leaders also need an independent view of what is happening across the software industry and how their organisation compares. That is the idea behind SlashData Intelligence for Software Engineering Leaders: a recurring research programme designed around the decisions senior engineering leaders are being asked to make.
SlashData has been studying developers and the software economy for 20 years. The Developer Nation survey provides a global view of how software is built, which technologies developers adopt and how practices change over time across more than 10 different technology branches. Each wave reaches more than 10,000 developers worldwide, with its 31st edition alone reaching more than 11,880+.
This new intelligence series takes that evidence and focuses it specifically on the questions that matter at the engineering leadership level.
The first question: can engineering organisations prove AI is paying off?
The first research release examined a question that has quickly moved from experimentation to the boardroom: how do organisations know whether their AI investments are delivering?
The free report, The AI ROI Measurement Gap, and the deeper premium report, The State of AI ROI Measurement in Software Teams, analysed responses from 2,341 professional developers in leadership positions.
The findings revealed an important distinction between confidence and evidence.
According to SlashData's 31st Developer Nation survey of 2,341 professional developers in leadership positions, 80% use AI-assisted tools and 75% of those consider them valuable relative to cost and effort. Our data suggests that although 88% say their organisation measures AI impact or ROI, only 39% of those measuring use formal or automated processes such as recurring KPI tracking, dashboards or automated monitoring.
The accompanying webinar explored what that gap means for engineering leaders trying to justify investment, compare their measurement maturity with peers, and build an ROI case that finance and executive leadership will accept.
This is the role the new series is intended to play: helping leaders understand where the market actually is, what separates common practice from more mature practice, and what that means for their next decision.
The next wave: how AI is changing team size, structure, and roles
The next research wave will turn to a broader organisational question: the future of developer teams.
AI is changing more than individual workflows. Engineering leaders are now considering what it means for team size, role composition, seniority, governance, validation, productivity expectations and the capabilities their organisations will need over the next several years.
SlashData will examine these changes using large-scale Developer Nation survey data alongside recurring qualitative interviews with software engineering leaders. The aim is to connect measurable shifts across the market with the reasoning behind the decisions leaders are making inside their organisations.
The research will explore questions such as how AI may reshape team structures, which engineering skills and roles are likely to become more important, how organisations are balancing automation with review and governance, where junior developers fit in the process, and how expectations of software teams are changing.
One research wave is not enough
The value of this product line is intended to compound over time.
Each Developer Nation wave will bring a new topic relevant to senior engineering leadership, with open-access findings alongside deeper premium intelligence, supported by formats such as webinars, analyst briefings, blogs, or other content.
Over successive waves, that creates something more useful than a collection of standalone reports: a continuing view of how engineering organisations are responding to AI and the wider changes reshaping software development.
For leaders making decisions in a market that is moving quickly, the goal is simple: provide an independent benchmark outside their own company, their vendors, and their immediate peer group.
If your organisation is currently making decisions around AI investment, engineering productivity or the future structure of software teams, speak directly with SlashData’s sales team and analysts.
And the research agenda itself is open to input. If there is a question you think software engineering leaders need better independent evidence on, suggest a topic for a future research wave.
