Magnet Team
Restructuring Brief

Where we are today

An analysis of all magnet activity — leads, opportunities, visits, bookings, cancellations, RM calls and meetings — reveals a programme that is structurally sound in design but severely diluted in execution. Output is concentrated in a tiny fraction of magnets and RMs.

A tiered model across 5,303 magnets

Every magnet was scored across four dimensions — booking output, profitability, self-sufficiency, and RM engagement — and assigned to one of four tiers. This determines where to direct RM effort and co-investment.

Absolute ranking across 65 active RMs

RMs are scored on booking output (60%), funnel outcomes (25%), and activity volume (15%). The scoring is intentionally output-heavy — activity without bookings does not count. Data: 2025+ funnel/bookings, last 6 months of calls, all available meetings.

Getting to 500 net bookings with 6 RMs

Target: 500 net bookings in FY 2026–27. Focus: existing Tier 1 + Tier 2 magnets only, supplemented by the top 60 Tier 3 magnets to bridge the arithmetic gap. No new magnet acquisition required.

Proposed team structure — 6 front-line RMs, 1 manager

Quarterly ramp to 500

Q1: Assign portfolios, launch stale T2 reactivation sprint · Q2: Full T2 cadence live, T3 pipeline builds · Q3: T3→T2 conversions, AOP developer season · Q4: Peak season, AOP thresholds in range

Seven actions, in priority order

• 1
  Launch 90-day stale T2 reactivation campaign — immediately

  35 magnets historically averaging 4.4 bookings each produced zero in 2025. Prashant Nile, Sandeep Nalawade, hasmukh karia, Sneha Giri — each has an existing relationship with Homesfy. A structured outreach (dedicated call + meeting + project pitch within 30 days) targeting even 50% recovery adds 35–50 net bookings in Q1–Q2 before any structural changes are made. This is the fastest ROI available.
• 2
  Restructure RM portfolios to the 6-RM focused model

  Assign Darshan Vyapari and Naina Girase to the 20 T1 magnets exclusively (10 each). Assign Nitesh Kulaye, Vijay Singh, and Latifsab to the 108 T2 magnets (36 each). Assign Shivam Tripathi to the top 60 T3 magnets. The detailed assignment list with each magnet's recommended RM is in the portfolio CSV. This transition should happen in the first 30 days of Q1.
• 3
  Address the 43 zero-output RMs decisively

  Retrain the best 6–8 of the zero-output RMs — specifically those with high meeting done rates (Kiran Dulani 95.7%, Prathamesh Kale 93.2%, Abhishek Gawali 91.1%) who clearly engage but aren't converting. These are process/training gaps, not motivation gaps. The remaining 35+ should be honestly reviewed for redeployment or exit. Carrying 43 zero-output RMs dilutes management attention and creates a false sense of team scale.
• 4
  Reduce cancel rate from 20% to under 12% — treat it as a separate workstream

  Every cancelled booking at 20% means for every 5 gross bookings, 1 is lost. Reducing cancel rate to 12% effectively adds 25–30 net bookings at zero incremental cost. This requires reviewing which magnets and developers drive the most cancellations — nandkishor dhuri (33%), Harsh Adhiya (44%), hasmukh karia (36%) — and understanding whether it's a lead quality, developer, or post-booking support issue.
• 5
  Investigate Rohan Sinha and Snehal Karkhanis as urgent cases

  Rohan has the highest call volume outside the top 2 RMs (1,869 calls, 699 connected) but a 33% cancel rate — he's active but pushing wrong-fit or weak-pipeline deals. Snehal has the highest call volume in the entire team (1,993 calls, 1,035 connected) and zero bookings — a conversion skills gap or a magnet portfolio mismatch that needs diagnosis within Q1.
• 6
  Fix activity recording — especially for Naina Girase and vikas Kashyap

  Naina Girase is the highest-output RM (49 net bks) but has near-zero recorded calls and meetings — her activity score of 7.7 is almost certainly a logging problem, not a work ethic problem. Similarly, vikas Kashyap (18 net bks, 4 calls recorded). If these RMs are working and not recording, the system gives a misleading picture of what drives bookings. Fixing this also helps identify which behaviours actually predict bookings.
• 7
  Align T1 magnet portfolio to AOP developers as a priority

  Lodha, Godrej, Kalpataru, Dosti, Runwal account for the bulk of AOP agreements and higher brokerage thresholds. Shanawaz Qureshi (14 AOP builder bookings), nandkishor dhuri (15), Propsavvy Solutions (21) have the strongest AOP alignment in the magnet base. Ensuring these magnets are under the most senior, focused RMs — and that their deal flow is prioritised — directly influences AOP threshold achievement and brokerage tier uplift.