SALESDays to result

Seesaw Technique

Balance Positive and Negative Feedback

Problem it solves

low close rates

Best for

Sales teams

Not ideal for

Non-sales teams

Overview

Why this framework exists

The Seesaw Technique is a sales framework that provides a balance of positive and negative feedback to potential clients. It involves referencing the data from the scorecard, mentioning the highest and lowest category scores, and providing a solution to improve the lowest score.

Core principles

3 total
  1. Provide a balance of positive and negative feedback
  2. Reference the data from the scorecard
  3. Offer a solution to improve the lowest score

Steps

2 steps
  1. Reference the Data from the Scorecard
    Reference the data from the scorecard to provide a balanced view of the potential client's strengths and weaknesses
    Pro tipMention the highest and lowest category scores
    WarningDon't come across as too negative
  2. Offer a Solution to Improve the Lowest Score
    Offer a solution to improve the lowest score, such as a free pass to a workshop or a physical copy of a book
    Pro tipUse the seesaw technique to provide a balanced view
    WarningDon't be too pushy

Checklist

Saved in your browser

Examples

1 cases
Sophie's Call

Sophie, an appointment setter, used the Seesaw Technique to follow up with a potential client, Jo, and book a sales meeting

OutcomeBooked sales meeting

Common mistakes

2 traps
Not Providing a Balanced View
Not providing a balanced view of the potential client's strengths and weaknesses can lead to a negative perception
Not Offering a Solution
Not offering a solution to improve the lowest score can lead to missed sales opportunities

Origin story

How this framework came to be

The Seesaw Technique was developed by Daniel Priestley, the author of Scorecard Marketing. He created this technique to help sales teams provide a balanced view of a potential client's strengths and weaknesses.

Source

Traced to primary
Source · BOOK
Scorecard Marketing by Daniel Priestley
Unknown · 2022
Open source →

Related frameworks

Browse all Sales →