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Memories

Use Memories when you want to work with the key insights extracted from your records in NEXT. Memories are the analyzed moments from raw customer evidence such as interviews, customer success calls, support conversations, survey responses, and usability tests.

Memories can be created automatically by NEXT AI or manually by users. In practice, they turn long transcripts and media files into smaller, reviewable evidence units that are easier to organize, search, share, and reuse.

How Memories Are Created​

NEXT can generate memories automatically after you upload a record. Once transcription is finished, AI analyzes the record and usually creates the first set of memories within a couple of minutes. These memories can capture user pain points, needs, positive feedback, and other relevant insights that help teams make better product decisions.

If AI misses an important moment, users can also create or adjust memories manually from within a record. Because memories are based on selected transcript text, they stay tied to the original source material instead of becoming disconnected notes.

What a Memory Includes​

Each memory is created from transcript text in a record. Since records in NEXT are time-based media, every word in the transcript is linked to a moment in the underlying audio or video, even when the original upload started as text.

A memory typically includes:

  • An audio or video clip
  • The highlighted transcript text
  • A descriptive title
  • Tags for organization

The title matters especially because it is one of the main inputs AI chat uses when working with memories.

What You Can Do With Memories​

Memories make raw customer evidence easier to consume and share across the team. They are one of the main building blocks for downstream workflows in NEXT.

Teams commonly use memories to:

  • Start AI chat from all memories, selected memories, or individual memories
  • Group related memories into larger themes or work items called clusters
  • Share important findings quickly with teammates or external stakeholders
  • Send supporting evidence into connected tools such as Miro, Figma, Jira, or Productboard
  • Copy memories into workshop boards such as Miro or FigJam to support synthesis and brainstorming

This section covers common memories workflows in NEXT, including tagging memories, starting chat from selected memories, bulk editing metadata, adding memories to clusters, changing the library view, and translating memory text.