Member Avatar for burningkrome

I'm a developer lead and I'm trying to get actual statistics on how many developers are comfortable in multiple C-like languages. I'm specifically interested in the crossover amongst C, C#, C++, and Objective-C.

This is a legitimate quesiton, not a spam. Instead of asking everyone to post a comment...I've created a simple 4 question survey (where comments can also be left). It will ask you what languages you use, and how proficient you are in them.

You WON'T be contacted afterwards. This is just data collections by me, for my personal use.

If you have about 30 seconds, please click the link:

Responses will also be happily accepted here!

Thanks so much.

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  • Latest Post Latest Post by rproffitt

Dani AI

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A few practical notes for and respondents (and a direct reply to ): short, transparent metadata and clear definitions will make the results far more useful and increase participation. Two common gaps to close up front are a precise definition of "comfortable" (what a respondent can do with the language) and a stated date range plus recruitment channels so readers can judge representativeness.

Suggested additions to a minimal survey (keep each one single-choice or short):

  • "Do you use this language professionally, hobby/side-project, or not at all?"
  • "Years of experience in each language (0–2, 3–5, 6–10, 10+)."
  • "Rate proficiency per language with anchors (e.g., Novice = reads code, Competent = ships features, Advanced = designs systems, Expert = mentors/architects)."
  • "Primary development platform(s): Windows, Linux, macOS, iOS, Android, Embedded, Other."
  • "Primary language at work."

When sharing results, post these minimum items: total responses (n), collection start/end dates, recruitment sources, raw counts and percentages for each cell, and a short caveats section (self-selection and platform bias). For overlap, present a cross-tab matrix and, if possible, a simple Venn-style summary. Show raw counts alongside percentages (small n can make percentages misleading). For uncertainty, give a 95% proportion interval using: p ± 1.96 * sqrt(p*(1-p)/n).

Finally, to address : an interim aggregated snapshot (n so far, top overlaps, plus the brief methodology above) will reassure people and typically raises response rates. Expected patterns (high C/C++ overlap; Objective-C and C# often cluster by platform) are useful hypotheses — but report the data and the caveats rather than relying on assumptions.

Member Avatar for rproffitt

I'll do that if you share the results so far. If you don't share, why should I participate?

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