Aftercare

What is aftercare?

Aftercare is an AI-driven conversational survey platform operated by Kontractify, Inc.; it is primarily used for market research, gathering customer feedback, and obtaining insights from users. It asks follow-up questions in real time based on the respondents’ answers, thereby helping researchers understand the reasons behind those responses.

The platform offers end-to-end capabilities for creating and analyzing surveys, as well as APIs for asking follow-up questions, ensuring data quality, and encoding open-ended responses. Teams can publish surveys directly within Aftercare, and they can also integrate certain AI functions into existing survey systems.

Main functions of Aftercare

1. AI questionnaire generator

The user only needs to describe the topic, objectives, and target audience of the survey, and the system will generate a survey with an appropriate set of questions. After it is created, the wording can be modified, additional questions can be added, branches can be adjusted, and conditions for follow-up questions can be set.

2. Intelligent follow-up questions

Aftercare generates follow-up questions by taking into account the thematic issues, context, and the current response. When respondents provide information that is vague, brief, or requires further elaboration, the questionnaire can continue to ask questions, just like a interviewer would.

3. Visualizing workflows

The drag-and-drop workflow allows for the addition of survey modules, AI-driven follow-up questions, and branching paths, thereby presenting the respondent’s journey in a visual flow format. Researchers can decide which questions are mandatory and when to proceed to different branches.

4. Categorization and summary of open-ended questions

The platform can automatically summarize open-ended responses, create classification frameworks, and assign those responses to the appropriate categories. Researchers can examine the trends related to various topics and then manually adjust the classifications and results as needed.

5. Data quality inspection

The data quality API is used to identify responses that are off-topic, require little effort to generate, are meaningless, repetitive, or appear to have been created by large language models. Teams can mark such abnormal samples or terminate sessions with clearly low quality early in the investigation process.

6. Fine-grained answer scoring

The enhanced questioning API provides scores for aspects such as completeness, relevance, consistency, and degree of nonsense. The team can use these scores to decide whether to continue asking questions, end the conversation, or eliminate the respondent.

7. Integrate with existing survey tools

Aftercare offers APIs that enable the inclusion of dynamic follow-up questions and data analysis within existing survey processes. The specific integration methods and approaches need to be confirmed with the official team; survey platforms that are not listed can request customized integration.

Three types of API capabilities

• AI asks the API: Generates natural follow-up questions based on the question and answer.
• AI Data Quality API: Identifies off-topic, perfunctory, repetitive, meaningless responses, as well as those that appear to have been generated by AI.
• AI Coding: Generates coding frameworks for open-ended questions and categorizes a large number of responses.
• Enhanced follow-up API: Returns multiple quality scores for answers in addition to the follow-up questions.
• For the API solution, a free trial and implementation support are available; regular usage is charged according to a customized plan.

Which users are it suitable for

• Research teams that need to gather customer experience and product feedback.
• Companies that wish to obtain more open-ended reasons without increasing the costs associated with manual interviews.
• Market research firms that need to eliminate samples of low-quality panels.
• Organizations that are conducting surveys on brand, concept, satisfaction, or employee experience.
• There are already survey platforms, and there are teams that wish to add intelligent follow-up questions and analysis of open-ended responses through APIs.

Price and version comparison

As of August 24, 2026, the Aftercare website still offers free survey creation and free accounts; however, high-volume usage and API solutions now come with customized quotes. The specific amounts, methods for calculating the number of responses, and contract terms are outlined on the purchase or quote page.

It needs to be confirmed when inquiring about prices.

• The response quota is calculated based on opened, completed, or valid samples.
• AI asks whether to increase the number of responses or calls.
• Limits on team seats, number of surveys, file export, and brand customization.
• APIs are charged based on requests, responses, characters, or model usage.
• Trial period, concurrency limits, service level, and overage fees.
• Are data retention, single sign-on, and dedicated support considered additional services?

Create an AI survey tutorial

1. Clarify the research objectives, target audience, and the key questions that need to be verified.
2. Describe the topic, scenario, tone, and estimated completion time to the survey generator.
3. Review the generated issues and remove any misleading, repetitive, or irrelevant content.
4. Add the necessary multiple-choice and open-ended questions, and set up branch paths.
5. Enable AI follow-up questions for topics that require in-depth understanding, and set a limit on the number of such questions.
6. Use internal testers to explore various response paths and check whether the follow-up questions sound natural.
7. Set forth privacy policies, data usage purposes, and the necessary consent from respondents.
8. When publishing a link or embedding a page, collect data on a small scale first before expanding the sample size.
9. View the response dialogues, categories, and summaries, and return to the original data to review the conclusions.

API Integration Tutorial

1. Confirm whether to enable follow-up questions, data quality checking, or open-ended question coding.
2. Apply for an API trial to obtain development documentation, keys, and implementation support.
3. Send masked samples to the testing environment to verify the request fields and the response structure.
4. Business thresholds are established based on scores for completeness, relevance, and nonsense.
5. Establish fallback procedures for timeouts, model failures, empty responses, and rate limiting.
6. Do not expose API keys in the browser, and restrict server-side access rights.
7. Log the version, number of calls, and errors, but avoid writing complete sensitive responses in regular logs.
8. Evaluate the misclassification rate and cost of actual samples before proceeding with production surveys.

Product advantages

• Follow-up questions change depending on the respondent’s answers, making it easier to obtain reasons and details compared to a fixed questionnaire.
• Questionnaire creation, process design, publishing, and analysis of open-ended questions are all integrated in one platform.
• The data quality score enables the identification of obvious abnormal samples during the collection phase.
• It offers a complete investigation platform as well as APIs that allow integration with existing tools.
• The free account provides 30 responses per month, which is sufficient for small-scale testing.
• Categorizing open-ended questions and preparing summaries can reduce the time researchers spend on organizing tables.

Usage restrictions and precautions

• AI-generated questions may be repetitive, biased, or deviate from the research objectives; they must be tested before being published.
• Automatic classification and quality scoring may misjudge short responses, non-native expressions, or minority viewpoints.
• The 30 monthly responses provided by free accounts are not suitable for formal, large-scale studies.
• For high usage volumes, the unit price for the API is not publicly available; the budget must be determined through a sales inquiry.
• Qualitative insights cannot automatically represent overall conclusions; proper sampling and research design are still required.
• When it comes to employees, health, minors, or sensitive information, additional compliance reviews must be conducted.
• The scope of integration for third-party investigation platforms needs to be confirmed item by item.

Privacy and data security

According to the privacy policy, the data collected as part of investigations and via API submissions is stored in the Aftercare database, and it is encrypted both during transmission and when stored statically. The official investigation platform states that it has completed a SOC 2 Type 1 security audit; businesses should verify the scope of the current report when making purchases.

• Survey data is usually retained for as long as the customer account is active; after the account is closed, it may be kept for another 90 days approximately.
• Customers can set custom retention periods and request the export or deletion of survey data.
• Anonymized and aggregated data may be used to improve internal AI models; customers can contact the authorities to request exclusion from this process.
• Some AI functions may process survey data through Anthropic or OpenAI.
• The data and related services are located in the United States; cross-border investigations require compliance with applicable laws and contract terms.
• Requests regarding the data rights of respondents should usually be submitted first to the organization that created the questionnaire.

API and open-source status

Aftercare provides developer documentation and various polling APIs publicly, and offers a free trial period. The pricing for the official APIs is determined based on the amount of usage; call limits and scope of support are specified during the trial or in the contract.

As of the verification date, no official open-source code repository or open-source license for the Aftercare platform was found. The provision of APIs and development documentation does not equate to the making of the product’s source code available,; therefore, the platform should be classified as a proprietary commercial service.

Frequently Asked Questions

Can Aftercare be used for free?

The survey generator is free to use; a free account provides 30 responses per month. For a greater number of responses and access to the API, it is necessary to request a customized solution.

What is the difference between it and a regular questionnaire?

While regular questionnaires ask questions following a fixed sequence, Aftercare can generate follow-up questions in real time based on the respondents’ open-ended answers, and it automatically organizes the topics covered in those answers.

Can it be integrated with existing survey platforms?

It is possible to use AI for follow-up questions, as well as data quality and coding APIs; however, specific platform compatibility and implementation details need to be confirmed with the authorities.

Can AI scoring directly eliminate respondents?

Technically, scores can be used in branching or termination logic, but the thresholds should first be calibrated using real samples, and a manual review mechanism should be in place for incorrect decisions.

Is Aftercare an open-source tool?

No official evidence indicating that the core of this platform is open source was found; it is a commercial service that offers web-based products and APIs.

Summary

Aftercare is suitable for research teams that wish to upgrade from fixed surveys to dynamic interviews and reduce the workload associated with processing open-ended questions. The free version is useful for testing purposes, but for official projects it is important to examine issues such as bias in follow-up questions, inaccuracies in data assessment, cross-border data handling, and customized pricing.