TAANGO
Signal · Design Partner Brief · 2026
01 / 12
01 / 12
Five-gym Newcastle pilot

TAANGO
SIGNAL

The hardware and retention intelligence layer
for the completed member visit.
02 / 12
The retention blind spot

Most systems record arrival.
Few close the visit.

Known today

The entry event

  • Member identity
  • Entry time
  • Visit frequency
Often missing

The completed visit

  • Exit time
  • True session length
  • Change from personal baseline
03 / 12
The missing data point

One additional event turns a scan
into a behavioural signal.

EntryExisting credential event
Open visitMember is on site
ExitTaango closes the visit
DurationMinutes versus baseline
SignalChange over time

The pilot is designed to test whether completed-visit data gives operators earlier, more actionable visibility into disengagement.

04 / 12
Passive exit hardware

An e-toll experience
for the gym exit.

Exit zone
01
Keep the existing entry experience

Taango ingests the gym's current access event rather than asking staff to replace their operating system.

02
Capture a low-friction exit event

The pilot will test reader placement, credential compatibility and member compliance in real clubs.

03
Close the visit automatically

Entry plus exit creates session duration, completion rate and change from each member's own baseline.

05 / 12
Two signals, different evidence levels

Start with what is known.
Test what could add value.

Research supported

Visit frequency decline

Falling or unstable attendance is a recognised indicator of disengagement. Taango will operationalise this signal against each member's recent pattern.

Pilot role: establish local thresholds and action timing
Pilot hypothesis

Session duration decline

Shortening visits may add earlier context, but the relationship is not yet proven. The pilot will measure whether it predicts disengagement beyond frequency alone.

Decision gate: keep only if it adds reliable predictive value
06 / 12
From signal to measured action

A weekly workflow staff
can actually complete.

Detect

Flag

Identify material change from the member's personal attendance baseline.

Output: prioritised list
Explain

Review

Show the recent visit pattern, completed sessions and reason for the flag.

Output: staff context
Act

Contact

Assign a simple human outreach action through the operator workflow.

Output: action logged
Observe

Follow up

Measure whether the member returns and whether the pattern stabilises.

Output: response window
Learn

Outcome

Classify returned, unchanged or cancelled, then compare interventions.

Output: evidence loop
07 / 12
Five-gym Newcastle pilot

One local network.
One comparable dataset.

Newcastle pilot cluster GYM 01GYM 02GYM 03GYM 04GYM 05 TAANGO EVIDENCE LAYER Illustrative locations only
Final design partners to be confirmed
At each gym
Entry feed + exit reader

Capture member, location, entry time and exit time.

Shared layer
Completed-visit data model

Normalise visit frequency, duration and data quality.

Operator layer
Weekly flags and action logging

Make staff behaviour and member outcomes measurable.

Pilot design
Comparable cohorts where practical

Use intervention and comparison groups, subject to partner size and data quality.

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Six-month measurement plan

Instrument. Observe.
Intervene. Compare.

Month 01

Install

  • Reader placement
  • Access integration
  • Privacy notices
Gate: stable data flow
Month 02

Calibrate

  • Exit capture rate
  • Visit closure logic
  • Staff training
Gate: usable visit data
Month 03

Baseline

  • Frequency patterns
  • Duration patterns
  • Cohort quality
Gate: credible baselines
Month 04

Act

  • Weekly flags
  • Staff outreach
  • Action logging
Gate: workflow adoption
Month 05

Observe

  • Return behaviour
  • Signal lift
  • Response timing
Gate: measurable outcomes
Month 06

Decide

  • Cohort comparison
  • Retained revenue model
  • Rollout case
Gate: scale, refine or stop
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Success criteria

Proof requires more than
a working reader.

Pilot scorecard
Exit capture accuracyMeasure
Percentage of visits successfully closedMeasure
Signal reliability before cancellationValidate
Weekly report open and action ratesAdopt
Member return after interventionCompare
Estimated retained revenueModel
Threshold assumption

Targets set after baseline

Numerical success thresholds should be agreed with design partners once integration quality, gym size and baseline behaviour are understood.

Decision standard

Evidence before expansion

Scale only if Taango captures reliable data, staff use the workflow and interventions show a credible outcome difference.

10 / 12
Designed for operational simplicity

Low disruption.
Explicit data boundaries.

Install

  • Preserve the current entry flow
  • Place a dedicated reader at exit
  • Validate connectivity and coverage
  • Document removal and support process

Operate

  • No new front-desk system
  • One weekly action list
  • Simple status and outcome logging
  • Visible data-quality monitoring

Protect

  • Purpose-limited member data
  • Partner-approved privacy notice
  • Role-based operator access
  • Defined retention and deletion policy

Privacy, consent and credential handling will be reviewed with each partner before live deployment. Taango should collect only what the pilot requires.

11 / 12
Proposed design partner structure

Shared commitment.
Shared learning.

Commercial assumption
A$0
Software fee during six-month pilot

Proposed starting position only. Final hardware, installation, support and post-pilot pricing require partner discovery and engineering scope.

Taango providesPilot hardware and software

Installation coordination, data processing, weekly workflow and pilot reporting.

Partner providesAccess, data and a staff owner

Relevant system access, member communication support and weekly action participation.

Jointly agreeMeasurement and governance

Baseline, cohorts, success criteria, privacy controls and publication permissions.

Post-pilot optionFounding partner terms

A preferred commercial offer may be proposed if the pilot creates measurable value.

Assumption to validate: removing the software fee lowers design-partner friction. Taango should still model installation cost, hardware ownership and the level of staff commitment required.
12 / 12
Evidence-gated product path

Start with Signal.
Earn the right to build the OS.

Now

Signal

Close visits, detect behavioural change and prove data quality in five gyms.

Unlock: proprietary completed-visit dataset
Next

Intervention

Learn which staff actions create return behaviour for which member patterns.

Unlock: measurable retention playbooks
Then

Automation

Prioritise actions, coordinate follow-up and integrate with existing gym systems.

Unlock: repeatable operator value
Vision

Member Success OS

A system that helps operators understand, support and retain members across the lifecycle.

Unlock: broader platform expansion

The pilot is not designed to prove the whole vision. It is designed to answer the first question with discipline: can completed-visit data help a gym act earlier and learn what works?

Five design partners · Newcastle