PERSONAL PRODUCTIVITY

Quarter-close Coda OKR to board-ready narrated Loom package

On a button press in Coda, compiles full-quarter OKR results into a board narrative, narrates it with ElevenLabs, builds a Loom QBR video.

CategoryPersonal Productivity
Enginesim
Difficultyadvanced
Triggermanual
Steps7
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCoda button press triggers runCodaCoda
  • ActionPull final quarter attainment from CodaCodaCoda
  • LogicBucket results and compute overall attainment
  • ActionCompose board-level QBR narrativeOpenAI
  • ActionNarrate script with ElevenLabsElevenLabsElevenLabs
  • ActionAssemble Loom QBR videoLoomLoom
  • OutputPost Loom and summary to board Teams channelMicrosoft Teams

What it does

Produces a polished quarterly business review video from your Coda OKR doc on demand. It scores final attainment across every objective, writes a board-grade narrative covering hits, misses, and themes, and delivers a narrated Loom QBR plus a written summary to your board's Microsoft Teams channel.

When to use it

Use this at quarter close when you need a defensible, repeatable QBR artifact for the board without a week of deck prep. Triggered manually so you control exactly when the quarter is final.

How it works

  1. 1A Chief of Staff clicks a button in the Coda doc to trigger the run.
  2. 2The workflow pulls final attainment for all objectives and key results from Coda.
  3. 3A logic step buckets results into achieved, partial, and missed and computes overall attainment.
  4. 4An LLM composes a board-level narrative tying outcomes to strategy.
  5. 5ElevenLabs narrates the script and a Loom QBR video is assembled.
  6. 6The Loom link and written summary are posted to the board channel in Microsoft Teams.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CodaDocs, packs, automations.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect LoomVideo transcripts, libraries.
  4. 4
    Connect Microsoft TeamsChannels, chats, files.
  5. 5
    Connect OpenAIModels, embeddings, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.