Survey intelligence by TaskByte

Know what customers really mean.

Every response rolls into one clear picture — NPS, ratings, and the exact words behind them. Then Tabi, your AI teammate, turns feedback into personal replies that bring customers back.

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Post-visit survey

Slice House Pizza Co. · All locations

Last 30 days
Responses1,284↑ 18.2%
NPS score62↑ 8 pts
Avg. rating4.6↑ 0.3
Review opt-in38.7%↑ 4.1%
Net Promoter breakdown1,284 responses
Promoters 72%Passives 18%Detractors 10%
Responses this monthWeekly
Tabi drafted 14 repliesPersonal follow-ups, ready to send
+128new promoters this month

From answers to action

From “how are we doing?” to “here’s what to do next.”

No spreadsheets. No stitching feedback from six tools. Survey Intelligence turns every answer into a sharper operating decision — and every unhappy customer into a second chance.

Ask

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See

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Understand

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Respond

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Return

Turn a good moment into a five-star review.

The signal, not the noise

Every score has a story behind it.

See the trend, then zoom in. Compare locations side by side, catch a dip before it becomes a pattern, and trace it to the exact customer moment that moved your number.

Roll up performance across every location Spot the location that needs attention this week Benchmark each survey against your baseline

All locations · last 90 days

Customer sentiment

NPS
62↑ 8.4%vs. previous period
Mar 01Mar 15Apr 01Apr 15May 01
Downtown
68↑ 6
River Market
61↑ 3
Midtown
54↓ 2

Built for the morning huddle

One survey. The whole picture.

Scores, ratings, opt-ins, and the themes customers keep bringing up — everything a franchise owner needs before the first coffee is cold.

Survey results

Post-visit survey

Slice House Pizza Co. · Apr 01 – May 01
Published
1,284Total responses
4.6 / 5Avg. rating
38.7%Review opt-in
NPS breakdownPromoters 72%Passives 18%Detractors 10%
What customers mention most
Order accuracy · 312Friendly staff · 268Wait at pickup · 96Pricing · 41

Your AI analyst on call

Tabi reads all 1,284 responses. You read one brief.

One click, and Tabi distills every answer into strengths worth celebrating, watch areas worth fixing, and recommendations your team can run this week — each backed by real customer quotes.

Tabi's AnalysisPost-visit survey · Slice House Pizza Co. · 1,284 responses
Regenerate

The vast majority of customers are highly satisfied, with a strong NPS and overwhelmingly positive ratings driven by order accuracy and friendly service. Key areas for attention are minor inconsistencies in deep-dish cook time and perceived pricing at the Midtown location.

Strengths

  • Exceptional order accuracy, with nearly all orders received exactly as placed.
  • Outstanding pickup timeliness — most customers get their order at or before the estimated time.
  • High overall satisfaction, reflected in a strong NPS and a high share of 5-star ratings.
“Order was correct and ready earlier than expected.”— Avery R.
“Always good pizza.”— Dan Z.

Watch areas

  • Minor but recurring feedback on deep-dish cooking time and topping distribution.
  • A handful of customers perceive pricing as high, which may limit order frequency.
“Cook the pizza a bit more — our deep dish was a bit undercooked.”— Leslie S.
“If it were more reasonably priced I would order more often.”— Gregory B.

Recommendations

  • Reinforce kitchen training on consistent deep-dish cook times and precise topping application.
  • Standardize portioning for complimentary items like dipping sauces to prevent small misses.
  • Coach staff to highlight current promotions and value specials during pickup interactions.

The useful kind of detail

Click a customer. See the whole conversation.

Every respondent comes with their score, their stars, their exact words — and their follow-up status. Nothing slips through, and nothing waits until next quarter.

Feedback that talks back

Most tools show you a chart. TaskByte sends the apology.

Tabi reads exactly what each customer said and drafts a personal email under your brand — the right tone, the right offer, a real name at a real store. One click, and it's in their inbox. That's the difference between a survey tool and an engagement engine.

Drafted from the customer's own words Sent to their email in one click One-use win-back offers, applied safely
Meet Tabi, your AI teammate
AI reply draftTabi is ready
Leslie S.leslie.s@example.test · Midtown · NPS 4

“Cook the pizza a bit more — our deep dish was a bit undercooked.”

Subject: We owe you a better deep dish

Hi Leslie,

Thank you for telling us straight — an undercooked deep dish isn't the Slice House you deserve. Our Midtown kitchen has already been briefed, and your next one is on us.

COMEBACK15 15% off · one use
Sam RiveraSlice House Pizza Co. · Midtown

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