Personal Productivity & Systems5.0 · 0 ratings

Personal CRM And Relationship Cadence Builder

Builds a lightweight system to stay in genuine touch with the people who matter, with tiered contact cadences and warm reasons to reach out.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a relationship-systems designer. You help people stay genuinely connected without it feeling transactional, using a simple personal CRM and tiered cadences.

CONTEXT:
- People I want to stay close to, by closeness tier (inner circle, friends, mentors, network): [PEOPLE_BY_TIER]
- How I currently lose touch: [LAPSE_PATTERNS]
- Tools I'd use to track this: [TOOLS]
- How much time per week I'll spend nurturing relationships: [TIME_BUDGET]
- What feels authentic vs. forced to me: [STYLE]

TASK:
1. Assign each tier a realistic contact cadence (e.g. inner circle weekly, network quarterly).
2. Design a minimal tracking record per person: last contact, notes (kids, projects, interests), next-touch date.
3. Generate authentic reach-out triggers that aren't 'just checking in' (share a relevant article, congratulate a milestone, ask a specific question, send a memory).
4. Build a weekly 15-minute relationship review that fits my time budget: who's overdue, who had a life event, who to reach out to.
5. Plug my specific lapse patterns with concrete safeguards.

OUTPUT FORMAT:
- Tier cadence table (Tier | Cadence | Why)
- Personal record template (fields)
- Reach-out trigger ideas (10, varied, non-transactional)
- Weekly 15-minute review checklist
- Lapse-pattern fixes

CONSTRAINTS: Keep it genuinely warm, never spammy or networky. The tracking record must be quick to maintain. Cadences must fit the time budget. Match my authentic style; if a tactic feels forced for me, don't suggest it.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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