Parent Feedback Survey Template Start now

A parent feedback survey is a simple way for parents to communicate with schools on their child’s learning experience. This template can be used school wide for large scale feedback or individually by teacher for parent teacher conferences. This survey template includes questions related to learning habits, safety, and inclusion.

This survey template includes questions related to learning habits, safety, inclusion, and overall school satisfaction.

Number of questions: 15

The anonymous survey link is perfect to collect responses with this template. Identities will be protected, and meta data can even be included in the link, such school location. This data is used to segment and filter the results. You may notice different school locations have different needs or concerns from parents, or the parents of males might value certain activities over females. This type of data can help custom institutional initiatives.

Anonymous emails could be another method of data collection. This would also give you the ability to add custom meta data, but also giving you the ability to send reminders to parents who have yet taken the survey.

Unique to SurveyKing is the ability to collect responses via a text message. This parent feedback survey can be sent out to parents with a simple text message, increasing responses rates and data collected. This can be done at the school level, or the teacher level. If your institution needs help, we can automate this process for you. Please contact us for help.

• How often do you wish you could talk with teachers at your child’s school?
• How confident are you that you can help your child can developer good friendships?
• How much of a sense of belonging does your child feel at his or her school?
• How confident are you in your ability to support your child's learning at home?
• What can our school do to better meet your child’s learning needs?
• What is the biggest area of interest for you child?
• If we offered after school activities, how often would you volunteer?

Asking simple multiple choice questions for some subjects, such as extracurricular activities offered wont paint the full picture of what parents value. To get a more accurate assessment, a MaxDiff or Ranking question can be used. Both question types are unique to SurveyKing and are included in the survey template. Below is a quick explanation of how they can add value data to your survey.

This question type ask respondents to pick what is least and most important from a set of attributes, or in this case extracurricular activities. Data from this question can be used to shape new after school activities. You might notice an after school financial planning course for high school freshman is extremely important. This is actionable data that can be used to shape decision making.

If doing feedback for a single teacher, you can replace the last MaxDiff question with field trip ideas, or maybe guest speaker ideas. You could also send out the survey to students asking them for their favorite actives, syncing up their answers with parents answer to find a happy medium.

This question type asks respondents to rank in order a certain number of attributes. In this example the parents can pick their top two extracurricular activities.

Results can be shared with one click giving access to school boards or accretion board. The shared report links can be edited by board members without affecting your local report. This gives them the ability to drill into the data and draw their own conclusions.

Simple multiple choice or dropdown questions, will include a bar or pie chart along with a data table.

Advanced question types like MaxDiff will show each attribute along with the percentage and count of the times it was ranked as most appealing, least appealing, or not chosen. If you segment these results, maybe by department, a data table will be shown for each segment.

The ranking question will compute a weighted calculation score. Attributes ranked first are given a higher value or "weight." The score, computed for each attribute, is the sum of all the weighted values. The data table will also include a distribution of how each attribute was ranked.