QuestionPunkQuestionPunk
Start free
All templates

Internal Knowledge Management Effectiveness Survey

Assesses whether employees can actually find, trust, and contribute to your organization's documentation, wikis, and knowledge base — with an AI follow-up that reconstructs a real moment someone got stuck instead of relying on abstract satisfaction ratings. Built for IT, L&D, and operations teams evaluating or improving a knowledge management system.

Use this templateBrowse more templates

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

14 questions · ~7 min
Q01
Message

Thanks for taking a few minutes on this! We're looking at how well our documentation, wiki, and knowledge base actually work for you day to day. Your honest experience helps us fix what's broken. About 5-6 minutes.

Q02
Multiple ChoiceRequired

In a typical week, how often do you search internal documentation or a knowledge base to do your job?

  • Daily or almost daily
  • A few times a week
  • About once a week
  • A few times a month
  • Rarely or never
Q03
Opinion ScaleRequired

When you need specific information to do your job, how easy is it to find something accurate?

Scale: 1 – 7
Min:Very difficultMax:Very easy
Q04
Multiple ChoiceRequired

Where do you most often go first when you need information you don't already know?

  • Company wiki or knowledge base
  • Shared drive or folder
  • Asking a teammate directly
  • Chat/Slack search
  • Email search
  • A manager or team lead
  • Trial and error / figuring it out myself
Q05
MatrixRequired

How much do you agree with each statement about our current documentation and knowledge base?

5 rows × 5 columns
  • The information I find is accurate
  • The information I find is up to date
  • Content is easy to search and locate
  • It's clear who owns or maintains each document
  • New employees could get up to speed using it alone
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
Rating ScaleRequired

Overall, how satisfied are you with our current knowledge management tool(s)?

Range: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q07
Multiple ChoiceRequired

In the last 3 months, how often have you added, corrected, or updated a document or wiki page yourself?

  • Never
  • Once
  • A few times
  • Regularly, it's part of my routine
Q08
Best–Worst Trade-off (MaxDiff)Required

Which of these improvements would help you most, and which would help you least?

  • Better search functionality
  • Clear ownership for each page
  • More consistent formatting/templates
  • Faster updates when things change
  • Easier way to flag outdated content
  • AI-assisted search or summaries
  • Better onboarding to the tool itself
  • Fewer duplicate or conflicting pages
Pick best & worst per setBest:Most helpfulWorst:Least helpful
Q09
AI Interview

Ask the respondent to walk through the most recent specific time they needed information and couldn't find it easily: what they were trying to do, where they looked first, how long it took, and what they ended up doing instead (asking a person, giving up, guessing). Probe for the actual business impact — delay, rework, wrong answer given to a customer — not just frustration. If they say finding information is easy, ask what makes their team's documentation better than others they've encountered.

Q10
Multiple Choice

What stops you from contributing more to shared documentation? Select all that apply.

  • Not enough time
  • Unclear where or how to add content
  • Not sure my input is 'official' enough
  • No recognition or incentive to do it
  • Past edits got overwritten or ignored
  • Don't know who to check with before publishing
Q11
Opinion ScaleRequired

How likely are you to recommend our current knowledge management tool to a new colleague joining your team?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q12
Multiple Choice

Which department or team are you part of?

  • Engineering / IT
  • Operations
  • Sales
  • Customer Support
  • Marketing
  • HR / People
  • Finance
  • Prefer not to say
Q13
Multiple Choice

How long have you been with the organization?

  • Less than 6 months
  • 6 months to 2 years
  • 2 to 5 years
  • More than 5 years
  • Prefer not to say
Q14
Message

That's everything, thank you! Your answers, along with everyone else's, will directly shape how we prioritize fixes to our documentation and knowledge base this quarter.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Includes an AI follow-up interview that asks respondents to walk through a real recent moment they got stuck finding information, instead of relying only on abstract satisfaction ratings
  • Combines quantitative measures (opinion scale on findability, rating on tool satisfaction, matrix agreement statements, max-diff prioritization of improvements) with qualitative depth from the AI interview
  • Directly measures contribution behavior (how often employees add or correct documentation) and the specific barriers stopping them from contributing more, not just consumption habits
  • Segments by department and tenure so IT, L&D, and operations teams can see whether pain points differ by team or how long someone has been onboarded onto the knowledge base

QuestionPro

Company - Knowledge Management Survey Template

This is a fielding-ready template covering satisfaction and usage of internal knowledge management systems, similar in topic scope to ours. It relies on standard static question types (ratings, multiple choice) rather than adaptive follow-up, so depth comes from the number of questions asked rather than dynamic probing. Good for benchmarking broad sentiment but not for surfacing specific stuck-moments or root causes in a respondent's own words.

What it does well

  • Purpose-built specifically for knowledge management topic, not a generic repurposed template
  • Backed by an established survey platform with broad template library and distribution tools
  • Likely covers standard KM satisfaction metrics familiar to HR/IT survey designers

Where it falls short

  • Static question set with no adaptive AI follow-up to reconstruct a specific real incident where someone couldn't find information
  • No indication of per-response quality scoring or transparent prompt methodology
  • No voice AI interview or guided screen-share task option for observing actual search behavior

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

Use this templateStart free