Form Logic

ODK Collect supports a wide range of dynamic form behavior. This document covers how to specify this behavior in your XLSForm definition.

See also



Relevance, constraint and calculation evaluation within the same screen is supported in Collect v1.22 and later. In earlier versions of Collect, questions tied by logic must be displayed on different screens.

Form logic building blocks


Variables reference the value of previously answered questions. To use a variable in XLSForm, put the question's name in curly brackets preceded by a dollar sign:


Variables can be used in label, hint, and repeat_count columns, as well as any column that accepts an expression.

A text widget in Collect. The question is "What is your name?" The entry field has the value "Adam". A note widget in Collect. The text is "Hello, Adam."


type name label
text your_name What is your name?
note hello_name Hello, ${your_name}.

You can also refer to the current question or to the current question's parent group or repeat:

  Explanation Example Notes
. current question's value . >= 18 Used in constraints.
.. current question's parent group position(..) Used with position() to get a parent repeat instance's index.

Advanced: XPath paths

The ${} notation in XLSForm is a convenient shortcut to refer to a specific field. When an XLSForm is converted, ${} references are expanded to XPath paths which describe where the field is located in the form.

Some tools like ODK Build do not support ${} notation so XPath notation must be used. Even in XLSForm, it can be advantageous to use XPath notation, especially in the context of repeats or datasets. The ${} and XPath notations can be mixed freely.

One way to think about XPath is that it sees a form or dataset like a series of folders and files on your computer. Questions are like files while groups and repeats are like folders because they can contain other elements. Path elements are separated by /. Imagine a form with a group with name outer which contains another group with name inner which contains a question with name q1. The absolute path to q1 is /data/outer/inner/q1.

The data in the example above is the name of the form root. This root is named data by default but can be modified by adding a name column in the XLSForm settings sheet and specifying a value below it. This is rarely needed. The / at the start of the path indicates that the path is absolute.

XPath paths can also be relative. For example, let's say there's a relevance expression for q1 in the example above and that this expression refers to a question with name age in the outer group. We could refer to it using an absolute expression: /data/outer/age. We could also write a relative expression: ../../age.

The ../.. part of the relative expression says to go up two levels from the current position of /data/outer/inner/q1. The first .. goes up one level to /data/outer/inner and then the second .. goes up another level to /data/outer/. We want to access a question in the outer group so we add that question's name to get ../../age.

ODK tools support a subset of XPath described in the ODK XForms specification.

XPath predicates for filtering

In repeats and datasets, an XPath path can refer to multiple nodes. This is called a nodeset. XPath predicates are True/False (boolean) expressions in square brackets that filter the nodeset they come after. When you define a choice filter for a select, that expression is used as an XPath predicate to filter the choice items.

You can also write your own expressions with predicates. For example, consider a form with a repeat with name people and a question inside with name age (see XPath paths for repeats for the form definition). The expression /data/people[age < 18] evaluates to a nodeset that includes all instances of the people instance for which the value of the age question is less than 18. age in the predicate is a relative expression evaluated in the context of each node in the nodeset. In this case, the relative expression age is evaluated in the context of /data/people, giving the path expression /data/people/age. This means that /data/people/age is compared to 18 for every people repeat instance.

You can add more path steps after a predicate. For example, /data/people[age < 18]/pet_count evaluates to a nodeset that includes all the pet counts for instances of the people repeat that have age values under 18. Nodesets can be passed in to functions like sum() or other functions that take nodeset arguments.

Sometimes forms may use groups to organize question sections within repeats. Those groups must be accounted for in predicates. If the age question were nested in a group called inner, the predicate expression would need to be inner/age < 18. Additionally, if the pet_count question were nested in a group called details, the full expression would be /data/people[inner/age < 18]/details/pet_count.

XPath predicates are also the way to reference specific values in a dataset. Learn more in the section on referencing values in datasets.

XPath paths for repeats

When a form definition includes a repeat, corresponding filled forms will have 0 or more instances of that repeat. Using the file and folder analogy described above, each repeat instance is like a folder and all of these folders have the name of the repeat. Repeat instances are differentiated by their index (first, second, …).

When writing expressions within a repeat, it can be helpful to use the position of the repeat instance an enumerator is currently filling out. This can be done by using the position() function. One context in which this is useful is if you want to first collect a roster of people or things and then ask additional questions about each of those. As shown in the example in the position(), you can use a first repeat for the roster and then a second repeat that references items in the first repeat based on their position.

Another use of the position function is to access a preceding repeat instance. See an example of this in the section on dynamic defaults in repeats.

XPath paths can be useful to reference some or all repeat instances from outside the repeat. XPath notation is particularly helpful for filtering repeat instances, for example to provide a summary from data collected in repeats:


type name label calculation
begin repeat people Person  
int age Age  
int pet_count How many pets does this person have?  
end repeat people    
int total_pets   sum(${people}[age < 18]/pet_count)
note total_note Total pets owned by children: ${total_pets}  

In the path expression ${people}[age < 18]/pet_count, ${people} uses ${} notation to refer to all of the instances of the repeat. You could also expand this to the XPath path of /data/people. See the section on XPath predicate for more details. In this example, the total_pets value is displayed to the user. It could be used in many different contexts such as to define the relevance of a group if there's a section of questions that only need to be filled out if there are more than one child-owned pets in the community.


An expression is evaluated dynamically as a form is filled out. It can include XPath functions, operators, values from previous responses, and (in some cases) the value of the current response.

Example expressions

${bill_amount} * 0.18
Multiplies the previous value bill_amount by 18%, to calculate a suitable tip.
concat(${first_name}, ' ', ${last_name})
Concatenates two previous responses with a space between them into a single string.
${age} >= 18
Evaluates to True or False, depending on the value of age.
round(${bill_amount} * ${tip_percent} * 0.01, 2)
Calculates a tip amount based on two previously entered values, and then rounds the result to two decimal places.

Expressions are used in:


To evaluate complex expressions, use a calculate row. Put the expression to be evaluated in the calculation column. Then, you can refer to the calculated value using the calculate row's name.

Expressions cannot be used in label and hint columns, so if you want to display calculated values to the user, you must first use a calculate row and then a variable.

The decimal widget in Collect. The question label is "Bill amount". The entered value is "55.88". A note widget in Collect the text is: "Bill: 55.88; Tip: 10.06; Total: 65.95"


type name label calculation
decimal bill_amount Bill amount:  
calculate tip_18   round((${bill_amount} * 0.18),2)
calculate tip_18_total   ${bill_amount} + ${tip_18}
note tip_18_note
Bill: $${bill_amount}
Tip (18%): $${tip_18}
Total: $${tip_18_total}

Values from the last saved record


We only recommend using last saved values as defaults. References to the last saved record could be used as part of any expression wherever expressions are allowed but this may lead to unexpected results on submission edit when the last saved record is likely to have changed.

The last-saved feature does not work with encrypted forms.

Support for last-saved was added in Collect v1.21.0 and Central v1.3.0. Using older versions or encrypted forms will have unpredictable results.

You can refer to values from the last saved record of this form definition:


This can be very useful when an enumerator has to enter the same value for multiple consecutive records. An example of this would be entering in the same district for a series of households.

XLSForm that shows using a last-saved value as a dynamic default

type name label default
text street Street ${last-saved#street}

The value is pulled from the last saved record. This is often the most recently created record but it could also be a previously-existing record that was edited and saved. For the first record ever saved for a form definition, the last saved value for any field will be blank.

Questions of any type can have their defaults set based on the last saved record.


Last-saved copies over literal answer values and not binary attachments so it won't really work well with binary questions. The filename will be copied over but the actual file won't be available to Collect.

Form logic gotchas

When expressions are evaluated

Every expression is constantly re-evaluated as an enumerator progresses through a form. This is an important mental model to have and can explain sometimes unexpected behavior. More specifically, expressions are re-evaluated when:

  • a form is opened
  • the value of any question in the form changes
  • a repeat group is added or deleted
  • a form is saved or finalized

This is particularly important to remember when using functions that are not connected to fields in the form such as random() or now(). The value they represent may change as the conditions listed above take place.

To control when an expression is evaluated, use dynamic defaults or trigger calculations on value change. Dynamic defaults are evaluated exactly once on form load or repeat creation.

Empty values in math

Unanswered number questions are nil. That is, they have no value. When a variable referencing an empty value is used in a math operator or function, it is treated as Not a Number (NaN). The empty value will not be converted to zero. The result of a calculation including NaN will also be NaN, which may not be the behavior you want or expect.

To convert empty values to zero, use either the coalesce() function or the if() function.

coalesce(${potentially_empty_value}, 0)
if(${potentially_empty_value}="", 0, ${potentially_empty_value})

Requiring responses

By default, users are able to skip questions in a form. To make a question required, put yes in the required column.

Required questions are marked with a small asterisk to the left of the question label. You can optionally include a required_message which will be displayed to the user who tries to advance the form without answering the question.


type name label required required_message
text name What is your name? yes Please answer the question.

Setting default responses

To provide a default response to a question, put a value in the default column. Defaults are set when a record is first created from a form definition. Defaults can either be fixed values (static defaults) or the result of some expression (dynamic defaults).


Defaults are not supported for media question types. The only exception is that images can have static defaults. This can be useful for annotations.

Static defaults

The text in the default column for a question is taken literally as the default value. Quotes should not be used to wrap values, unless you actually want those quote marks to appear in the default response value.

In the example below, the "Phone call" option with underlying value phone_call will be selected when the question is first displayed. The enumerator can either keep that selection or change it.

XLSForm to select "Phone call" as the default contact method

type name label default
select_one contacts contact_method How should we contact you? phone_call
list_name name label
contacts phone_call Phone call
contacts text_message Text message
contacts email Email

Dynamic defaults


Support for dynamic defaults was added in Collect v1.24.0 and Central v1.0.0. Using older versions will have unpredictable results.

If you put an expression in the default column for a question, that expression will be evaluated once when a record is first created from a form definition. This allows you to use values from outside the form like the current date or the server username. Dynamic defaults as described in this section are evaluated once on record creation. See below for using dynamic defaults in repeats or setting the default value of one field to the value of another field in the form.

XLSForm to set the current date as default

type name label default
date fever_onset When did the fever start? now()

In the example below, if a username is set either in the server configuration or the metadata settings, that username will be used as the default for the question asked to the enumerator.

XLSForm to confirm metadata like username

type name label default
username username    
text confirmed_username What is your username? ${username}


If enumerators will need to enter the same value for multiple consecutive records, dynamic defaults can be combined with last saved. For example, if enumerators are collecting data about trees and trees of the same kind grow together, you can use the last saved tree species as the default for new records.

Dynamic defaults in repeats

Dynamic defaults in repeats are evaluated when a new repeat instance is added.

One powerful technique is to use a value from a previous repeat instance as a default for the current repeat instance. For example, you could use the tree species specified for the last visited tree as the default species for the next tree.


If you are collecting data about multiple entities such as trees, you can choose to use repeats or to use one form record per entity. See the repeats section for more information on making that decision. If you use one form record per entity, you can use last saved to get the same behavior as described in this section.

XLSForm to set a default value based on the last repeat instance

type name label default
begin_repeat tree Tree  
text species Species ${tree}[position() = position(current()/..) - 1]/species

In the default expression above, ${tree} is a reference to the repeat. The expression [position() = position(current()/..) - 1] in brackets says to filter the list of possible tree repeat instances to only include the one with a position that is one less than the current repeat's position. Finally, /species specifies that the species question from the repeat should be used. This is a mix of XLSForm's ${} shortcut syntax for specifying question names and raw XPath syntax.

Dynamic defaults from form data


Support for dynamic defaults from form data was added in Collect v1.24.0 and Central v1.1.0. Using older versions will have unpredictable results.

It can be helpful to use a value filled out by the enumerator as a default for another question that the enumerator will later fill in. Dynamic defaults as described above can't be used for this because they are evaluated on form or repeat creation, before any data is filled in.

You also can't use the calculation column on its own for this because the expression in the calculation would be evaluated on form save and replace any changes the enumerator has made. Instead, use a combination of calculation and trigger. The question reference in the trigger column will ensure that your calculation is only evaluated when that reference changes.

XLSForm that uses current age as the default for diagnosis age

type name label calculation trigger
text name Child's name    
integer current_age Child's age    
select_one gndr gender Gender    
integer diagnosis_age Age at malaria diagnosis ${current_age} ${current_age}

In the example above, ${current_age} in the trigger column means that when the value of the current_age question is changed by the enumerator, the calculation for the diagnosis_age question will be evaluated. In this case, this means the new value for current_age will replace the current value for diagnosis_age. If the enumerator then changes the value for diagnosis_age, this value will be retained unless the value for current_age is changed again.

Another option for the scenario above is to clear out the value for diagnosis_age when current_age changes. Making diagnosis_age a required question will force the enumerator to update diagnosis_age if current_age is corrected.

XLSForm that clears diagnosis age if current age is updated

type name label required calculation trigger
text name Child's name      
integer current_age Child's age      
select_one gndr gender Gender      
integer diagnosis_age Age at malaria diagnosis true() '' ${current_age}

In the example above, diagnosis_age is cleared any time the value of the current_age question is changed.

This kind of default is particularly useful if a form is being filled in about entities that there is already some knowledge about. For example, if you have a list of people to interview and you know their phone numbers, you may want to use the known phone number as a default and allow the enumerator to update it as needed.

XLSForm that looks up default values based on a selection

type name label calculation trigger choice_filter
select_one participants participant Participant     true()
text phone_number Phone number instance('participants')/root/item[name=${participant}]/phone_number ${participant}  
list_name name label phone_number
participants kwame_onwuachi Kwame Onwuachi +1-850-555-0168
participants sophia_roe Sophia Roe +36 55 562 079

In the example above, when a participant is selected, his or her phone number is populated as a default and can be updated as needed. If the selected participant changes, the phone number is replaced.


The true() in the choice_filter column for the select_one in the example above is necessary to be able to look up participants' phone numbers. This is currently needed to overcome a pyxform bug.

Triggering calculations on value change


Support for triggering calculations on value change was added in Collect v1.24.0 and Central v1.1.0. Using older versions will have unpredictable results.

Calculations are recomputed any time one of the values in its expression changes. For example, if your form includes the calculation ${q1} + ${q2}, it will be recomputed any time either of the values for ${q1} or ${q2} changes.

Calculations can also be triggered when a value not involved in the calculation changes. This uses the same trigger column as defaults from form data. It is particularly useful for triggering calculations that involve values not in the form like random numbers or time.

Lightweight timestamping

Knowing how long an enumerator spent answering a question can help with quality control and training. ODK Collect provides an audit log that contains rich information about how an enumerator navigated a form. This log is captured as a separate file and can be complex to analyze. A simpler alternative is to capture timestamps when specific questions' values change. This is similar to the start and end timestamp metadata types.

Capturing last update timestamps

type name label calculation trigger
string name Name    
dateTime name_last_update_time   now() ${name}
string life_story Life story    
dateTime life_story_last_update_time   now() ${life_story}

In the example above, the name_last_update_time field will be populated with the current time whenever the enumerator changes the value of the name question.

You can also capture the first time a question's value is changed using an if in the calculation:

Capturing first update timestamps

type name label calculation trigger
string name Name    
dateTime name_first_update_time   if(${name_first_update_time}='', now(), ${name_first_update_time}) ${name}
string life_story Life story    
dateTime life_story_first_update_time   if(${life_story_first_update_time}='', now(), ${life_story_first_update_time}) ${life_story}

Validating and restricting responses

To validate or restrict response values, use the constraint column. The constraint expression will be evaluated when the user advances to the next screen. If the expression evaluates to True, the form advances as usual. If False, the form does not advance and the constraint_message is displayed.

The entered value of the response is represented in the expression with a single dot (.).

Constraint expressions often use comparison operators and regular expressions. For example:

. >= 18
True if response is greater than or equal to 18.
. > 20 and . < 200
True if the response is between 20 and 200.
True if the response only contains letters, without spaces, separators, or numbers.
not(contains(., 'prohibited'))
True if the substring prohibited does not appear in the response.


Constraints are not evaluated if the response is left blank. To restrict empty responses, make the question required.

A text widget in Collect. The question text is "What is your middle initial?" The entered value is "Michael". Over the widget is an alert message: "Just the first letter."


type name label constraint constraint_message
text middle_initial What is your middle initial? regex(., 'p{L}') Just the first letter.

Read-only questions

To completely restrict user-entry, use the read_only column with a value of yes. This is usually combined with a default response, which is often calculated based on previous responses.


type name label read_only default calculation
decimal salary_income Income from salary      
decimal self_income Income from self-employment      
decimal other_income Other income      
calculate income_sum       ${salary_income} + ${self_income} + ${other_income}
decimal total_income Total income yes ${income_sum}  

Conditionally showing questions

The relevant column can be used to show or hide questions and groups of questions based on previous responses.

If the expression in the relevant column evaluates to True, the question or group is shown. If False, the question is skipped.

Often, comparison operators are used in relevance expressions. For example:

${age} <= 5
True if age is five or less.
${has_children} = 'yes'
True if the answer to has_children was yes.

Relevance expressions can also use functions. For example:

selected(${allergies}, 'peanut')
True if peanut was selected in the Multi select widget named allergies.
contains(${haystack}, 'needle')
True if the exact string needle is contained anywhere inside the response to haystack.
count-selected(${toppings}) > 5
True if more than five options were selected in the Multi select widget named toppings.

Simple example


type name label relevant
select_one yes_no watch_sports Do you watch sports?  
text favorite_team What is your favorite team? ${watch_sports} = 'yes'
list_name name label
yes_no yes Yes
yes_no no No

Complex example


type name label hint relevant constraint
select_multiple medical_issues what_issues Have you experienced any of the following? Select all that apply.    
select_multiple cancer_types what_cancer What type of cancer have you experienced? Select all that apply. selected(${what_issues}, 'cancer')  
select_multiple diabetes_types what_diabetes What type of diabetes do you have? Select all that apply. selected(${what_issues}, 'diabetes')  
begin_group blood_pressure Blood pressure reading selected(${what_issues}, 'hypertension')    
integer systolic_bp Systolic     . > 40 and . < 400
integer diastolic_bp Diastolic     . >= 20 and . <= 200
text other_health List other issues.   selected(${what_issues}, 'other')  
note after_health_note This note is after all health questions.      
list_name name label
medical_issues cancer Cancer
medical_issues diabetes Diabetes
medical_issues hypertension Hypertension
medical_issues other Other
cancer_types lung Lung cancer
cancer_types skin Skin cancer
cancer_types prostate Prostate cancer
cancer_types breast Breast cancer
cancer_types other Other
diabetes_types type_1 Type 1 (Insulin dependent)
diabetes_types type_2 Type 2 (Insulin resistant)


Calculations are evaluated regardless of their relevance.

For example, if you have a calculate widget that adds together two previous responses, you cannot use relevant to skip in the case of missing values. (Missing values will cause an error.)

Instead, use the if() function to check for the existence of a value, and put your calculation inside the then argument.

For example, when adding together fields a and b:

if(${a} != '' and ${b} != '', ${a} + ${b}, '')

In context:

type name label calculation
integer a a =  
integer b b =  
calculate a_plus_b   if(${a} != '' and ${b} != '', ${a} + ${b}, '')
note display_sum a + b = ${a_plus_b}  

Groups of questions

To group questions, use the begin_group…end_group syntax.

XLSForm — Question group

type name label
begin_group my_group My text widgets
text question_1 Text widget 1
text question_2 These questions will both be grouped together

You can use the field-list appearance on a group to display multiple questions on the same screen.

If given a label, groups will be visible in the form path to help orient the user (e.g. My text widgets > Text widget 1). Labeled groups will also be visible as clickable items in the jump menu:

The jump menu with a few grouped questions.


If you use ODK Build v0.3.4 or earlier, your groups will not be visible in the jump menu. The items inside the groups will display as if they weren't grouped at all.

Groups without labels can be helpful for organizing questions in a way that's invisible to the user. This technique can be helpful for internal organization of the form. These groups can also be a convenient way to conditionally show certain questions.

Repeating questions

You can ask the same question or questions multiple times by wrapping them in begin_repeat…end_repeat. By default, enumerators are asked before each repetition whether they would like to add another repeat. It is also possible to determine the number of repetitions ahead of time which can make the user interaction more intuitive. You can also add repeats as long as a condition is met.

XLSForm — Repeating one or more questions

type name label
begin_repeat my_repeat repeat group label
note repeated_note All of these questions will be repeated.
text name What is your name?
text quest What is your quest?
text fave_color What is your favorite color?


You can apply the field-list appearance to a repeat to make all of the repeated questions go on a single screen. However, you can't have a repeat inside of another group with the field-list appearance.

See also

Repeat Recipes and Tips describes strategies to address common repetition scenarios.


Using repetition in a form is very powerful but can also make training and data analysis more time-consuming. Repeats exported from Central or Briefcase will be in their own files and will need to be joined with their parent records for analysis.

Before adding repeats to your form, consider other options:

  • if the number of repetitions is small and known ahead of time, consider "unrolling" the repeat by copying the same questions several times.
  • if the number of repetitions is large and includes many questions, consider building a separate form that enumerators fill out multiple times and link the forms with some parent key (e.g., a household ID).

If repeats are needed, consider adding some summary calculations at the end so that analysis will not require joining the repeats with their parent records. For example, if you are gathering household information and would like to compute the total number of households visited across all enumerators, add a calculation after the repeats that counts the repetitions in each submission.

Controlling the number of repetitions

User-controlled repeats

By default, the enumerator controls how many times the questions are repeated.

Before each repetition, the user is asked if they want to add another.


The label in the begin_repeat row is shown in quotes in the Add …? message.

A meaningful label will help enumerators and participants navigate the form as intended. We generally recommend using a singular noun or noun phrase such as "observation" or "household member".

This interaction may be confusing to users the first time they see it. If enumerators know the number of repetitions ahead of time, consider using a dynamically defined repeat count.

The Collect app. A modal dialog with the question: "Add "Person"?" and options "Do not add" and "Add".

The user is given the option to add each repetition.


The jump menu also provides shortcuts to add or remove repeat instances.

Fixed repeat count

Use the repeat_count column to define the number of times that questions will repeat.


type name label repeat_count
begin_repeat my_repeat Repeat group label 3
note repeated_note These questions will be repeated exactly three times.  
text name What is your name?  
text quest What is your quest?  
text fave_color What is your favorite color?  

Dynamically defined repeat count

The repeat_count column can reference previous responses and calculations.


type name label repeat_count
integer number_of_children How many children do you have?  
begin_repeat child_questions Questions about child ${number_of_children}
text child_name Child's name  
integer child_age Child's age  

Repeating as long as a condition is met

If the enumerator won't know how many repetitions are needed ahead of time, you can still avoid the "Add …?" dialog by using the answer to a question to decide whether another repeat instance should be added. In the example below, repeated questions about plants will be asked as long as the user answers "yes" to the last question.

type name label calculation repeat_count
calculate count   count(${plant})  
begin_repeat plant Plant   if(${count} = 0 or ${plant}[position()=${count}]/more_plants = 'yes', ${count} + 1, ${count})
text species Species    
integer estimated_size Estimated size    
select_one yes_no more_plants Are there more plants in this area?    
list_name name label
yes_no yes Yes
yes_no no No

This works by maintaining a count() of the existing repetitions and either making repeat_count one more than that if the continuing condition is met or keeping the repeat_count the same if the ending condition is met.

In the repeat_count expression, ${count} = 0 ensures that there is always at least one repeat instance created. The continuing condition is ${plant}[position()=${count}]/more_plants = 'yes' which means "the answer to more_plants was yes the last time it was asked." The expression position()=${count} uses the position() function to select the last plant that was added. Adding /more_plants to the end of that selects the more_plants question.

Repeating zero or more times

Sometimes it only makes sense to collect information represented by the questions in a repeat under certain conditions. If the number of total repetitions is known ahead of time, use Dynamically defined repeat count and allow a count of 0. If the count is not known ahead of time, Conditionally showing questions can be used to represent 0 or more repetitions. In the example below, questions about trees will only be asked if the user indicates that there are trees to survey.

type name label relevant  
select_one yes_no trees_present Are there any trees in this area?    
begin_repeat tree Tree ${trees_present} = 'yes'  
text species Species    
integer estimated_age Estimated age    
list_name name label
yes_no yes Yes
yes_no no No

Filtering options in select questions

To limit the options in a select question based on the answer to a previous question, specify an expression in the choice_filter column of the survey sheet. This expression will refer to one or more column in the choices sheet that the dataset should be filtered by.

For example, you might ask your enumerators to select a state first, and then only display cities within that state. This is referred to as a "cascading select" and can be extended to any depth. The example below has two levels: job category and job title.

The choice_filter expression for the second select in the example is category=${job_category}. category is the name of a column in the choices sheet and ${job_category} refers to the first select question in the form. The filter expression says to only include rows whose category column value exactly matches the value selected by the enumerator as ${job_category}.

Any expression that evaluates to True or False can be used as a choice_filter. For example, you could add a location column to the choices sheet and also ask the user to enter a location they want to consider jobs in. If the new location question on the survey sheet is named ${job_location}, the choice filter would be category=${job_category} and location=${job_location}. Another example of a complex choice filter is one that uses text comparison functions to match labels that start with a certain value. Consider, for example, starts-with(label, ${search_value}) where search_value is the name of a text question defined on the survey sheet.


type name label choice_filter
select_one job_categories job_category Job category  
select_one job_titles job_title Job title category=${job_category}
list_name name label category
job_categories finance Finance  
job_categories hr Human Resources  
job_categories admin Administration/Office  
job_categories marketing Marketing  
job_titles ar Accounts Receivable finance
job_titles pay Payroll finance
job_titles recruiting Recruiting hr
job_titles training Training hr
job_titles retention Retention hr
job_titles asst Office Assistant admin
job_titles mngr Office Manager admin
job_titles reception Receptionist admin
job_titles creative_dir Creative Director marketing
job_titles copywriter Copywriter marketing

Generating select ones from repeats

If you use a repeat, you can generate a follow-up select_one question using values from the repeat. For example, if you collect information about several household members in a repeat, you can then show a select one with all household members' names. To do this, add a question of type select_one followed by the name of the question in the repeat that you want to use for the select options.

type name label required choice_filter
begin_repeat person Person    
text person_name Person's name? true()  
integer person_age ${person_name}'s age? true()  
end_repeat person      
select_one ${person_name} tallest Select the tallest person    
select_one ${person_name} tallest_child Select the tallest person under 18. ${person_age} < 18  

As shown in the example above, you can combine this with other select features such as filtering. Note that in the example above, the question used as select option text is required. If a question used to generate a select_one is not required and it is left blank for some repeat instances, those repeat instances will not be included in the select.