Ultimate Real Estate Experience for the Modern Consumer 🤖 Phil Harris

Session purpose (Tech Tuesday)

• Discussed how top Australian/NZ real estate firms use technology—tech subscriptions + integration + workflow adoption—to drive:
  • more listings and sales
  • smoother operations and efficiency
  • better agent/property management execution
• Key theme: many companies “buy tech,” but the differentiator is optimization, deep integration, training, and process discipline.

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Company & market context (Harris Real Estate)

Performance / scale (South Australia)

• ~3,500–3,000 properties managed (rental portfolio noted as “3 and a half th000”)
• Sales volume:
  • ~2,500 properties/year at COVID peak
  • “slightly back” to ~2,500 this financial year

Market backdrop (Adelaide / COVID-era comparison)

• Adelaide saw suburb-level annualized growth of ~25–40%
• Comparison provided:
  • pre-COVID normalized growth: ~1.7% per year for 10 years
  • post-COVID: 25–30% growth, far above inflation-linked baseline

Business structure and operating model

• Harris is independent (not a franchise).
• Ownership: Phil Harris and Tom Hecta as main shareholders.
• Management support: GM + Head of Sales + Head of Property Management.
• Operating model: 5 offices total, using a mix of wholly owned and 50/50 joint ventures.

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Tech strategy & “what matters” playbook (deep integration over horizontal tools)

Phil’s evolving philosophy

• Not “early adopter at all costs,” but selective adoption:
  • being first can bring bugs/learning—Harris waits for stability
• Avoid tech “for tech’s sake”:
  • adopt tools only if they help agents/property managers do more volume or make work easier

Tech stack principles emphasized

• Start with the “core” system(s) and workflow flow before adding more tools:
  • CRM first → workflow embedded → then other integrations
• Concern about “horizontal” proliferation:
  • warn against layering many loosely integrated tools before CRM/workflow are dialed in

Framework / workflow emphasis

• Prioritize end-to-end process continuity, e.g.:
  • open home → CRM capture → marketing deliverable → proposal → signed agreement
• Use a process-driven operating system (described as “McDonald’s system”):
  • tangible workflows are standardized
  • salesperson creativity is preserved in customer-facing moments

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Real example: RealTear workflow as a sales ops engine

Stated use-case

• Open home → capture buyer/seller details to CRM
  • details captured via mobile/iPad (via AgentBox or other inputs)
  • flow: CRM → pre-listing kit generation → delivery to seller
• Appraisal → proposal → agency agreement workflow
  • appraiser updates data in realte(r)
  • system auto-populates a selling proposal
  • proposal output then feeds into the sales agency agreement workflow

Operational benefit

• Eliminates manual “handoff gaps” between steps that otherwise cause delays and errors.

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Operating model: training + onboarding as the real multiplier

Differentiator claimed by Harris

• They don’t just license tools; they heavily invest in:
  • training
  • onboarding
  • coaching
  • gradual rollouts

Example staffing model (role clarity across tech tools)

Dedicated staff responsibilities include:

• training/onboarding for realter (cited as ~50–70% of one role’s time initially)
• coaching/support around AgentBox
• coaching around Airtable
• coaching around the rest of the tool stack

KPI mindset implied

• Tool success is judged by usage effectiveness, not subscription ownership.

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Airtable: “task control tower” for property launch workflows

What Airtable is used for

• Positioned as the middle layer between:
  • listing obtained / authority in hand
  • property going live online

Problem

• A typical listing launch can involve ~150 tasks (keys, floorplan, brochure, ordering, approvals, etc.)

Airtable solution

• Centralizes workflow where:
  • agents do part
  • PAs do part
  • office team does the remainder
  • some office tasks are executed offshore
    • example referenced: ~97 tasks offshore

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Incentives & pricing process transparency

Listing proposals and fee transparency

• Phil supports full disclosure of marketing/commission fees in proposals.
• Rationale:
  • fee discussions often trigger “agent fear,” but consumers are sophisticated enough to evaluate value.

“15-round boxing match” framework

• The listing appointment journey is multi-stage; you don’t have to win every round.
• Success is measured by a higher total points score across the journey, including:
  • phone call handling
  • pre-listing kit timing/value
  • follow-up
  • proposal experience
• If you’re “only cheapest,” you may still lose because you won’t secure enough overall points to continue the decision conversation.

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Leadership & compliance: eliminating spreadsheet/CRM shadow systems

Problem addressed

• Agents using personal workflows such as:
  • Excel chase lists
  • manual texts/emojis
  • unofficial CRM replacements

Leadership approach (core mechanism)

• Leadership must commit to:
  • operational excellence
  • continuous innovation
  • best-in-market tools so staff have less incentive to workaround

Motivation logic

• If the system makes agents’ lives easier, compliance improves naturally.

Cultural approach

• Enforce process for tangible steps (don’t have each agent build workflows “from scratch”).
• Allow creativity in:
  • brand
  • presentation
  • customer interaction

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Hiring & org design: reducing admin cost via tech-enabled role evolution

Claimed evolution over ~7 years

• Previously, first hire for growth was often admin
• Now, admins come later; tech enables agents to scale with a “smarter” first hire

Team progression examples (capacity-based thresholds)

• At $400k–$600k income/fees:
  • hire a co-agent (not an admin)
• When writing $600k+:
  • hire a team manager
• Office handles admin-heavy tasks (settlements, inspections, building inspections, etc.), supported by tech workflow.

Implication

• Tech can replace/defer admin costs by letting agents execute more of the work (lead/gen outreach, digital updates, contract/signature flow).

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Talent & performance traits (WQ/EQ/Work ethic + Tech quotient)

Competency framing

• Phil defines:
  • Work ethic (WQ)
  • Emotional intelligence (EQ) / reading people
  • Tech quotient (TQ) / ability to adapt to tools
  • IQ (cognitive ability)

Ranking perspective

• After baseline IQ, the top drivers are:
  • work ethic and EQ (described as “neck and neck”)
• Tech becomes a multiplier when someone already excels at WQ + EQ.

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Prospecting playbook: volume + skill + long game

Core execution prescription

• Succeeding requires daily prospecting volume—no shortcuts.

Targets cited

• ~20–30 connecting calls per day before midday, 5 days/week (“rent payment”)
• Adjustment example based on annual fee goals:
  • to write ~$400k/year, it may translate to ~15 high-quality calls/day instead of 20–30

Skill development framework

• Role plays for:
  • listing/open home
  • negotiation
• Weekly practice noted as historically common; younger agents often do less

Long-game mindset

• “Sowing seeds” for future listings (e.g., excited to have a home sale in 5 years)
• Critique:
  • people chase social-media “results” instead of daily execution

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Goal/behavior alignment (leadership management tactic)

• Start with outcome goals (e.g., write $1m in fees).
• Then apply “brutal honesty”:
  • Does behavior match the outcome?
  • If not: change behavior or change goals (don’t keep misaligned objectives).
• Example:
  • “Make 20–30 calls/day” is scalable, but the behavior must exist that drives the target outcome.

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Key metrics / KPIs mentioned (explicit)

• Rental portfolio: ~3,500 properties managed (approx stated)
• Sales volume: ~2,500 sales/year (returned to ~2,500; COVID peak noted)
• Market growth:
  • some Adelaide suburbs: 25–40% annualized growth
  • baseline: ~1.7% pre-COVID
• Prospecting:
  • 20–30 connecting calls/day, 5 days/week (typical “rent” number)
  • alternative example: ~15 high-quality calls/day to reach ~$400k fees/year
• Workflow complexity:
  • ~150 tasks to launch a property online (agent/PA/office split; offshore handling referenced)
• Staffing/role time:
  • training onboarding effort cited at ~50–70% of one tech-role’s time during rollout

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Actionable recommendations distilled from the talk

• Integrate deeply: ensure CRM → workflow → marketing/proposals → signed agreements work end-to-end before buying more tools.
• Train and coach relentlessly: tech adoption without onboarding becomes “bought but not used” spend.
• Use a task orchestration layer (e.g., Airtable-like) to prevent “black hole” handoffs from listing to launch.
• Standardize tangible workflows (McDonald’s approach), while allowing creativity for sales interactions.
• Enforce compliance through leadership commitment: if leadership doesn’t model excellence, agents will use shadow systems.
• Scale the org with tech:
  • shift from hiring admin first → hire co-agent/team manager at income/volume thresholds.
• Manage performance with measurable behaviors (calls, role-play skill building) and long game incentives.

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Presenters / sources

• Phil Harris — Managing Director, Harris Real Estate (South Australia) (guest)
• Tom — panel host/co-host (name shown as “Tom” in subtitles)
• Susan — referenced in chat (“Susan in the chat” shared link/resources; mentioned but not formally speaking)