Prolific Features

Text-based surveys or quizzes related to user experience.

Individually recorded video clips based on situations or prompts.

One-on-one video conferences with users.

Screenshots or in-context photos sent in from users.

Text responses to situational prompts.

Intercepting users during application usage.

Intercepting customers during in-person shopping experience.

Intercepting visitors while on particular webpage.

Vendor-provided database of respondents.

Actionable data generated from user responses.

Collaborative tools for analyzing or repurposing responses.

Tools for tagging, storing, and searching responses.

Source software, website, or application testing to diverse pool of test users.

Provide manual or automated feedback tracking regarding software, website, or application functions and errors.

Integrate with other software testing, product management, and development platform tools.

Set requirements for testing which the software, website, or application would need to pass.

Record software, website, application, and test users actions with fullscale logging to track actions and errors.

Provide test result metrics in text and visual representations.

Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.

Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more.

Ensures the data is of a high quality as compared to benchmark.

Gives user the ability to review and edit labels.

Uses models to predict the correct label for a given input (image, video, audio, text, etc.).

Automatically route input to the optimal labeler or labeling service based on predicted speed and cost.

Has the ability to place imaginary boxes or polygons around objects or pixels in an image.

has the ability to detect objects within images.

Track unique object IDs across multiple video frames

Supports a range of different types of images (satelite, thermal cameras, etc.)

Gives user the ability to extract entities from text (such as locations and names).

Gives user the ability to tag text based on its sentiment.

Gives user the ability to label and verify text data in an image.

Allows the user to transcribe audio.

Gives user the ability to label emotions in recorded audio.

Condenses long documents or text into a brief summary.

Supports integration with multiple data sources for seamless data input.

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.