How Think Tank works

Working with Think Tank, step by step

Submit a problem, select a team, prepare, meet and receive a report. Track your case status and next action at every stage.

A case journey
1Problem brief and expected outcome
2Proposed team and member invitations
3Time, agenda and access instructions
4Notes, options and suggested actions
5Final report and action plan

An illustration of service stages, not the status of a real case.

01
Client and operations team

Clarify the problem

The Client submits a problem. Through follow-up questions, operations refines the central question, constraints and criteria for a useful outcome.

Input
Context, concern and expected outcome
Output
Problem brief and expected outcome
02
Operations and Facilitator

Bring complementary perspectives together

Relevant Experts and complementary Contributors are proposed. Each invitation states the role and response deadline. Acceptance alone does not confirm the session time.

Input
Knowledge the problem needs
Output
Proposed team and member invitations
03
Facilitator and authorised members

Prepare the session plan

After the required members accept, the schedule and agenda are recorded. Members can see the plan and information they are authorised to access in their accounts.

Input
Accepted team and session goal
Output
Time, agenda and access instructions
04
Facilitator, Experts, Contributors and Client

Keep the discussion focused

The Facilitator guides time and participation. Analysis, questions, decisions and actions are recorded in the authorised case workspace. Recording and AI processing require their own policy and consent.

Input
Problem brief and agenda
Output
Notes, options and suggested actions
05
Assigned Facilitator and human reviewer

Prepare an outcome people can follow up

The report records the discussion's conclusions, options, risks and next steps, with traceable versions. A draft, including AI-generated text, is not a final report until it has been reviewed and published.

Input
Session conclusions and documentation
Output
Final report and action plan
Illustrative example

What should the report make clear?

This example uses a fictional shop. The options explain the report structure; they are not ready-made advice for a real business.

Sample problem brief

Problem: Fewer customers return.

We want to understand which data is missing about the post-purchase experience and which small change we could test.

Expected outcome
Options to investigate and the next step in collecting data
Example limitation
Avoid broad changes before there is enough evidence
Decision reportIllustrative example
Example problem · Online shop

How can we encourage repeat purchases?

Central question

Which part of the post-purchase experience deserves closer investigation?

Options to examine
  1. 01Review post-purchase messages
  2. 02Talk to past customers
  3. 03Test a small service change
Suggested next step

Collect data and compare options before a wider rollout.

Open question: Do we have enough data to choose?
A fictional example for learning, not the outcome or guarantee of a real session.

Before you start

Invitations, schedules and calls have separate statuses. Joining a call is not recording consent. An AI draft is not a final report. Scores, ranks and compensation have no official effect until their respective policies are approved.

Privacy notice
Next step

Describe the problem as you see it.

An initial description is enough. The Think Tank team will work with you on missing information and follow-up questions.

Start a problem submission