MAXQDA

Import audio files to MAXQDA.

Run AI Transcription to generate text with timestamps.

Apply 'In-Vivo' coding to highlight key themes.

Use Creative Coding to structure the theoretical framework.

Generate a Smart Publisher report for the final dissertation.

Upload video recordings of user sessions.

Use the multimedia browser to code specific screen interactions.

Filter codes by 'negative sentiment' using AI Assist.

Create a MAXMap showing the journey from friction to resolution.

Export video clips of coded segments for the stakeholder presentation.

Import Excel data with open-ended and closed questions.

Use 'Autocode' to tag specific keywords in patient comments.

Open the Stats module to compare sentiment scores across different hospitals.

Run a Chi-Square test to see if satisfaction correlates with wait times.

Create a Quote Matrix to illustrate quantitative findings with qualitative voices.

Import PDF bundles into the document system.

Use the Lexicometer to find word frequencies and collocations.

Categorize documents using 'Document Variables' (e.g., date, author).

Use AI Assist to summarize lengthy legal filings into 1-page briefs.

Utilize the Search tool to find complex patterns across the entire corpus.

Import a focus group transcript.

Use the 'Focus Group Participant' tool to automatically assign speakers.

Compare participant opinions using the 'Crosstab' function.

Analyze group dynamics using the 'Code Proximity' tool.

Visualize the distribution of speaking time and themes per participant.

Import PDFs from EndNote or Zotero via RIS file.

Code key findings, methodologies, and gaps within the papers.

Use the Memo system to write initial synthesis notes.

Generate a 'Code Matrix Browser' to see which themes are present in which papers.

Export the bibliography and synthesized summaries to Word.

Connect to the Twitter API and search for brand mentions.

Import YouTube comments for specific product launch videos.

Run automated Sentiment Analysis to categorize posts as Positive, Negative, or Neutral.

Create word clouds for the most common complaints or praises.

Track sentiment trends over time using the 'Trend' visualization.